i am on the last step i have installed llama2 as well as recipes, pip and everything is ins...- [************@ns3152159 codellama]$ ~/ Loading model parameters from JSON file... Model parameters loaded successfully. Loading model weights... Traceback (most recent call last): File "/home/**********/", line 16, in <module> (model_params["vocab_size"], model_params["dim"]), File "/home/therabbithole/venv/lib/python3.9/site-packages/torch/nn/modules/", line 143, in __init__ = Parameter(((num_embeddings, embedding_dim), **factory_kwargs), RuntimeError: Trying to create tensor with negative dimension -1: [-1, 4096] [therabbithole@ns3152159 codellama]$ everythings installed im missing something. just need help
tengo una hoja excel donde tengo unos 4 campos de entrada(j,i,nv,nn), una seccion de formulacion y una ultima seccion donde muestra como deberian salir los resultados. la variable j y la variable i tienen iteracion , cambian de la siguiente forma: j de 0 a 4, i de 0 a 5, en cada iteracion la seccion de formulacion se calcula automaticamente. Para la primera iteracion (j=0, i=0 al 5) los resultados si cuadran con la formulacion realizada, pero con las siguientes iteraciones de j los resultados no cuadran en las primera iteraciones de i. lo que se desea es reformular de tal manera que cuadren los resultados en las iteraciones de j, i.
Hi Bipin P., Happy New Year! I have a slide deck of ~110 slides that I would like you to format to make professional/cohesive. A creative design has been developed for the PPT as a separate file. The PPT needs work to make it consistent/look clean and professional (similar to your work previous work with our team). I don't need figures redrawn. I would need the completed deck returned by January 15th. I'll send you the PPT and creative. Thank you!
I am looking for a...risk associated with each factor (factor beta) rolling on the last 6 or 12 months. 3. Based on the stock specific characteristics and the predicted factor movements of the next month an optimization model shall compile a portfolio of 5 stocks out of the SP500 which leverages optimally the predicted risk factors development predicted in step 1. o Here support is again needed to establish a model (NN?) which makes sense based on the data and desired predictions. o Other stock specific data also may be used such as industry, volatility, Sharpe ratio etc. 4. The output should be in a format which is easy to import into an Excel file to visualize the model and prediction. 5. It should be possible for the user to exclude certain stocks from the prediction and rerun ...
...experienced AI voice developer to create an offline Speech to Speech voice changer for professional purposes. The voice changer should be able to mimic the voice model library, and the required level of voice similarity is a near-exact match. Skills and Experience Needed: - Mandatory experience in developing state of the art (modern) voice changers or speech-to-speech voice cloning technology. - GAN or NN voice library base should be high resolution (no 16 kHz) - Must use 24 bit 48 kHz Wav files (no upsampling) - No Filters, EQ’s are low-fi gimmicks - Proficiency in programming languages and frameworks necessary for developing the voice changer - Ability to deliver high-quality and realistic voice cloning results I will provide the voice model and input model libraries....
The must read every nn minutes from an url that sometimes could be answer with data from invoice, this data must be printed directly using IP and codepage European, if print ok then return to url the invoice number and code ok received. Sample url: Response from server: {"id":3217, "fecha":"2023-09-17", "hora": "15:07", "code":"839824", "dest": "rio san pedro 4, 1-D, Oviedo", "tel": "985123456", "detail": [ {"linea":1, "cant":4, "producto": "ejemplo de producto", "deta":"sin huevo, con bacon"}, {"linea":2, "cant":1, "producto": "otro ejemplo", "deta":&q...
...respect to the test data) solution evolved by GP and ANN. Report, in a tabular form, all algorithm parameters (e.g., crossover rate, NN architecture-defining parameters) you used for your implementation, including default parameters (if any) used by the packages for your implementation. ---Submit all code. Timing: - I need the solution within 3-4 days. Ideal Skills and Experience: - Strong proficiency in Python programming. - Experience with genetic programming and optimization techniques. - Familiarity with modeling and prediction algorithms. - Ability to create new algorithms. - Good understanding of tabular form reporting, including crossover rate and NN architecture-defining parameters....
There is data about plant development of different genotype: - sensors measurements (water consumption, periodic growth, root water influx, etc.) - daily thermal and RGB images of plants, from above and from sides The goal is to consider and review 2-3 methods for analysing/predicting the data (like regression or NN), compare them and recommend which one to use.
Logo-NN Networking Group I am looking for a creative and talented logo designer to create a bold and vibrant logo for my networking group, NeurNet. The main focus of our group is business owners and professionals from various industries such as technology, finance, and marketing. Skills and experience required: - Strong portfolio showcasing previous logo design work - Ability to create bold and vibrant designs that stand out - Understanding of the business networking industry - Knowledge of current design trends - Excellent communication skills to effectively understand and implement client's vision Colors can be Gold, Black, Green, white. Am open to other colors as well If you are a creative designer who can bring my vision of a bold and vibrant logo to life, I would lov...
The project is about getting a Neural Network from a GitHub repository of a project at and written in the C++ and C++ version of TensorFlow and getting it ready in inference mode with a new code written in the Python version of the project is all about creating a chess engine that lea...solution of the contest should be a google collab or jupyter notebook with the model in inference mode. Chess Engine Repository: Additional Information: Tip: Visit sections 4.3 and 4.4 of the Book "Neural Network for Chess" available at "" to understand the LCZero project repo and NN better and to complete the project in less than an hour.
Mercante Technologies is in search of an AI Writer, an individual who can artfully and intelligently pen down content about Neural Networks (NN), Large Language Models (LLM), and the broader world of Artificial Intelligence (AI). Weʼre seeking a storyteller who can craft compelling, informed narratives that not only educate but also shine a spotlight on our groundbreaking services. The goal? To position Mercante Technologies as the thought leader in the AI space, and seamlessly intertwine our brand within engaging content that captures the essence and potential of today's AI advancements.
...working with a small dataset, with less than 1000 samples. I am specifically interested in predicting multiple related variables. The project needs to be done fast. I need to use Neural Networks and other ML tools to solve this two reggression tasks https://archive.ics.uci.edu/ml/datasets/Bach+Chorales and https://archive.ics.uci.edu/ml/datasets/GPS+Trajectories. Use two methods/architectures/NN types or even Machine Learning techniques from Create a small report about it and compare the results. Send me the data, code and report. I need it in a couple of hours. Skills and Experience: - Strong proficiency in Python and machine learning libraries - Experience with neural networks and regression analysis - Familiarity with other machine learning tools and techniques
Estamos produzindo o primeiro Dragon Ball Open world em pixel art animations. Necessitamos de um illustrator para personagens com máxima urgencia. They are characters in 45 degree perspective, just like CipSoft's "Tibia" game. At first, I only need 2 fully complete characters. Nn the long term I need much more. however 2 are enough for my BETA release and market research.
i have developed the state space model with 2 inputs, please help me with the following: The state-spa...input to the control scheme. The disturbances which are input Voltage and input Force are both at different scales therefore we should find a way for the NN controller to estimate the actuator Force input and still reduce the vibration of the plant. Try to implement the DISTURBANCE OBSERVER for the NN controller on Matlab simulink and plot all the signals (displacement, voltage and force). 1. construct a Direct NN controller and a closed loop system of the NN controller and a disturbance observer and plot the voltage, force and displacement. Provide me with the explanation of how it works and mathematical equations. 2. Add something to the NN contro...
Logo Design for a New Business I am looking for a talented designer to create a logo for my new business. I don't have a specific design in mind. I am open to different concepts and creative suggestions. Business Name is NN Bargains, we are a retail company. Requirements: - Experience in logo design for new businesses - Skills in graphic design and attention to detail - 3D if possible Deliverables: - A high-quality all file types of the final version logo design including transparent background - Formats required JPEG, JPG, PNG - Must be able to increase in size without distorting.
I am looking for a solution, a model that should be able to learn and solve a natural language processing (NLP) to regression problem. The problem is to find the correlational score (matching score) of two contexts. First context will be a text about a person, like person's CV, with information about experience, educations, etc.. Second context will be the job description text, defining the searching criteria. The model gets those 2 contexts as input, and then output a number in range -1 to 1 for matching score. Please do not think of this as a similarity problem, because it does not work. I also tried to build my own models using different techniques, for example a siamese model will give me a loss less than 0.01, but in fact the model will perform wrong after training. For exampl...
We're building the frontend right now and need an engineer that can build the backend in parallel. It's a simple frontend (only 3 pages: signup/signin, form/popup, main dashboard). The backend is also pretty simple - as long as you have experience building AI chatbots. See the flow here: https://www.figma.c...be continued with the chabot - the chatbot should remember it's first message however. -- 2 -- CHATBOT LOGIC The chatbot's response logic is made up of: (a) a GPT-4 prompt that labels the user's question (b) a searchVectorIndex() function that takes the user's question and the GPT-4 label as arguments (the label informs the function of which index it should search for nearest neighbors). (c) the NN matches are injected into a GPT-3.5 prompt to...
The work need to build classifiers using the techniques. At the very minimum, you need to produce a classifier for each method (DT, KNN, RF, SVM and NN). However, if you explore the problem very thoroughly, preprocessing the data, looking at different methods, choosing their best parameter settings and identifying the best classifier in a principled and explainable way, will be needed. If you choose to use KNIME and you show 'expert' use (i.e. exploring multiple classifiers, with different settings, choosing the best in a principled way and being able to explain why you built the model the way you did), optimize and test different models, this will be better.
i am looking for somebody proficient in matlab to perform three tasks a multilayer perceptron neural network, with 3 input / output, based on given functions hebbian learning to produce a network that can memorise some basic given pattern given fuzzy controller parameters to manually calculate output and confirm with matlab will include some re...utilise hebbian learning to produce a network that can memorise some basic given pattern given fuzzy controller parameters to manually calculate output and confirm with matlab will include some report writing and graphing. to use neural network toolbox and symbolic toolboxes only. full explanation of code and process needs to be provided. i will provide more information and some sample NN to interested freelancer.
We are seeking an experienced Machine Learning Engineer. The project involves predicting 19 dependent climate variables, including temperature and humidity, which are collected from a climate-controlled environment. ...independent variables, with the aim of forecasting the dependent variables at various time horizons, ranging from 1 to 8 hours. The ideal candidate will leverage their expertise in Long Short-Term Memory (LSTM) networks, or similar technologies, to handle this multivariate time-series forecasting task. The data set consists of over 500,000 observations gathered over a span of more than a year. The input to NN has to be editable enabling the change in the last observations before prediction. The project has to contain documentation on evaluation metrics and their inter...
In order to enhance the findings presented in the paper available at , we want to add two new extensions , the extensions can be like using new dataset, using a hybrid model (two different Berts) that at the same time be trained and end up with a single result. or a hybrid model combining a Bert and a NN. In this model, we give different features to the network. those are just suggestions, if you have any idea it can be considered.
run successfully,with test result in a reasonable range. here is the GINEConv function defined by pytorch geometric: . I want to change it . this base function is aggregate information from all source nodes to target nodes in graph. But I need it only aggregate information from source nodes that are within a certain range dependent on the edge relation, and this range has to be trained. For instance if edge relation is 1, then this function will aggregate information from k hop neighbours nodes, this k is an integer in range [1-7] which can be learned. edge relation can be 1,2,3. The function will in the end explore and return the value what is the best for edge_relation 1 or 2 or
I'm looking for an experienced programmer to help me improve the accuracy of a Neural Network I'm developing using federated learning. The exact model architecture I am considering is a simple NN developed using PyTorch NN. For the optimization technique, I will be skipping the question altogether and focusing on the flower framework. Specifically, I need someone to help me use the flwr flower framework to optimize my neural network and ensure it meets my desired metrics. The scope of this project includes all aspects of configuring and deploying the trained model, including data pre-processing, optimization hyper-parameters tuning, computation logic and more. The successful candidate should possess extensive knowledge of federated learning and its various component...
I need code that will allow me to train an instance segmentation tflite model on a custom dataset for a specific image segmentation task. I need to trial a few architectures and was thinking of trialing YOLOACT and Mask R-NN as an example. Ideally, I want to utilize transfer learning as well. The code should be written in python.
Hi Bipin, This project is also for Rebecca. Opening this new project for the 2nd slide deck mentioned in my previous message. Thank you!
Hi Bipin P., I'm Laura's colleague, Rebecca S. I have 2 slide decks of ~50 slides each that I would like you to format to make professional/cohesive. A creative has already already been applied but needs some work to make it consistent/look clean and professional (similar to your work for Laura) . I don't need figures redrawn. I would need both decks returned by Tuesday, April 11. I'll send you the other slide deck under a separate project name.
Hello! I’m looking for a Machine Learning expert to assist me with an PhD Engineering project I'm working on. The skillset needed is data analysis, and the model that needs to be developed is a NN model. As the project progresses, I may need additional help in supervised and unsupervised learning, as well as regression and clustering. I am looking forward to your assistance in building this project! Thank you!
Hi Folks, Looking for logo design for Start up software company. I Know, people are waiting for show their potential, This is right way to show your talent. Company Name : NN IT SOLUTIONS Website : All the best.
I have 6 datasets in which there is 13000 entries and 6 columns and 1 dataset with 2000 entries and 3 columns. I want prediction for upcoming entries using ANN, RF, SVM, k-NN.
...step-by-step into the World of Machine Learning and Data Science. course can be completed by either doing Python tutorials, or R tutorials, or both - Python & R. Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Art...
About NALA'S NIBBLES: DOG TREATS Project Description: Picture of a cockerspaniel For Nalas Nibbles could use dog bones for letter N Also would like a cool "NN" logo also
...Textdokumentpaaren, sodass es daraus Regeln ableiten, also lernen, und auf andere neue Texte anwenden kann. Die Software soll also jeweils zwei Dokumente erhalten: eines mit einem Ausgangstext und eines mit einem bearbeiteten Text im Korrekturmodus mit sichtbaren Änderungen. Es gilt, eine vierstellige Anzahl von Dokumentpaaren mit einer insgesamt sechsstelligen Seitenanzahl einzuspeisen. Die Grundlagen von ML und NN sind bekannt, ebenso theoretische Grundkenntnisse in Python. Somit beschränkt sich die Suche auf einen Trainer, der eine geeignete Umgebung empfehlen und darin Grundlagen für o. g. Szenario vermitteln kann. Das Trainieren und die Feinjustierung erfolgen später in Eigenregie. Eine entsprechende Einführung sollte deshalb idealerweise nur ein bis...
...Notes on former works on this project: -- This problem has been already solved, in a former project, using the XGBoost software and the accuracy reached was 24% for those lines identified as valid (the lines containing a tag B in the central column). Unfortunatelly, this was a quite low accuracy and the amount of "FALSE' valid lines surpassed by far the amount of "REAL" valid lines. The aimed NN doesn't need to identify all REAL VALID lines but the amount of FALSE VALID lines needs to be quite smaller than these previously obtained. -- The files are extremelly umbalanced, since the VALID LINES (binary 1) corresponds just to nearly 10% of all data. EXAMPLES: Note: All lines bellow have the same number of columns, the misalignment is due to the fo...
I have a graph with nodes and edges. I want you to build a very basic GCN which can predict the nodes and edges to make this graph. Furthermore, I want to have plots of the training stage after each epoch in the frequency domain. Here is an example code which makes these plots for CNNs, so maybe you can just use these, but it must work for GCN:
The code is here : Want to make small change to convolutional layer, only change a few lines of code.
In the normal snakes and ladders, the game is pure luck (the agent does not choose an action, just follows the dice). So I will require a modification to the rules where the player can choose how many states to advance, limited by the dice roll. In other words, if they roll a 3, then they can choose to advance 0, 1, 2, or 3 states. Instead I’d recommend d...I will require a modification to the rules where the player can choose how many states to advance, limited by the dice roll. In other words, if they roll a 3, then they can choose to advance 0, 1, 2, or 3 states. Instead I’d recommend depth-limited expectimax, using an evaluation function (similar to a heuristic) to estimate the risk/reward of states at the depth limit. Lastly, you can use the NN to predict risk/r...
Project Support for Deep Learning Neural Networks, need to understand how building of NN
Only reach out if you're very familiar with building a NN using Keras to predict income of individuals. The task is straightforward with limited budget.
I need to have a code checked. Aim of the code is to build a mathmatical function, to train a nn and to customize loss functions. Before showing the project, I need to discuss with the expert
Need an expert who can complete a project which requires knowledge in Neural Networks(NN), Support Vector Machines (SVM) and Natural Language processing (NLP).
Need an expert who can complete a project which requires knowledge in Neural Networks(NN), Support Vector Machines (SVM) and Natural Language processing (NLP).
Need an expert who can complete a project which requires knowledge in Neural Networks(NN), Support Vector Machines (SVM) and Natural Language processing (NLP).
... The project will include areport, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run systematic hyperparameter tuning. NOTE It must be done in Python and using Jupyter Notebook It's coding and then a paper. YOU ARE TO COMPLETE ONLY THE CODING PART For the coding complete it in a pdf and .ipynb file..ipynb files are for Jupyter notebook ...
... The project will include areport, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run systematic hyperparameter tuning. NOTE It must be done in Python and using Jupyter Notebook It's coding and then a paper. YOU ARE TO COMPLETE ONLY THE CODING PART For the coding complete it in a pdf and .ipynb file..ipynb files are for Jupyter notebook ...
Looking for someone experienced in the design, implementation and evaluation of classification algorithms. KNN-Haar, KNN-Deep Learned Features, NN-Haar, NN-Deep Learned Features
...report. Features of the pdf report In the title it says details of: then you need to indicate the selected categories (as a dynamic field) down. Then, through a sequence previously created in the system, assign the report number. For each report that is extracted, you must generate a sequential number, a historical record of who issues the report. This is a second general report of who has taken the NN report, name and date/time. Then delivery note group: dynamic field that indicates the batches that were selected for this report. Then date and time when the report is taken Then patent vehicle manual field: Then comes the table with the DESCRIPTION information of the product/quantity. Of pqte/pqtes x folio/cant. of folios then total sum of folios that will be delivered to the d...
