Hamiltonian monte carlo pytorch jobs
I have a python project that requires one modification. 3 AI algorithms were used to build a game of Kalah, alpha-beta pruning, Monte Carlo tree search, and reinforcement learning (ppo2). An iterative deepening search function needs to be added to the Alphabeta pruning algorithm to solve the problem of searching for deeper levels.
One should know how to deploy a Pytorch pre trained object detection model trained locally and save the output to s3 and create a data entry in dynamodb.
One should know how to deploy a pytorch pre trained object detection model trained locally and save the output to s3 and create a data entry in dynamodb.
Hello folk, We want o build a Federated Learning and Homomorphic Encryption-based framework for Computer Vision. We will provide complete guidance about the implementation and possibly give a few codes in PyTorch. We can discuss any details over chat. Note: The budget is negotiable.
Hello folk, We want o build a Federated Learning and Homomorphic Encryption-based framework for Computer Vision. We will provide complete guidance about the implementation and possibly give a few codes in PyTorch. We can discuss any details over chat. Note: The budget is negotiable.
DELIVERABLES 1- Custom Dalle-2 model that generates images from text. 2- Input is text, and output are images generated. 3- brief call to explain the code codes dataset
To build a responsive web form using ReactJS consisting of 70 different screens, with conditional branching of the user journey, upload of images and accepting user signature. Once the form is filled, to upload all assets and data to a remote REST HTTP API. Further details on the the design, user journey and API integration details will be provided following project acceptance.
Hi Jian Carlo S., I noticed your profile and would like to offer you my project. We can discuss any details over chat.
... if there is no prototype we can use, we should get detailed support while creating the prototype ourselves. Turkish Merhabalar. Projemiz taşıtlar için kör nokta uyarı sistemidir. Sağ ve sol aynalara bant gibi yapıştırılıp kör noktada bulunan taşıtlara denk geldiğinde sürücüyü led ile uyarılmasından oluşmaktadır. Aynaya yapıştırılan cihaz küçük olmalı aynanın işlevselliğini bozmamalı. Kolayca monte edilir olmalıdır. Bulunduğu araçtan bağımsız olmalı ve kablo v.b gibi bağlantılar olmamalı. Uzun ömürlü pille çalışabilmeli veya araçta oluşan titreşim ses,dalga gibi etkenlerden enerjisini sağlamalı. Her türlü araca takılabilmeli araçların belirli bir boyu olmadığından dolayı ar...
I want to concat a new Model (Keras code) with present model (Maybe It will be easy)
Development of bespoke / custom deep-learning-based AI solutions for computer vision applications operating on iot edge device (smart cameras, satellites, home security, logistics, transportation, etc.). Pytorch, TFLite, deep learning, object detection, classification, segmentation, non-standard custom models.
I want someone to compile and run the below codes, provide me with pre-trained models, test on custom datasets, Run Evaluate_PSNR_SSIM to obta...Super-Resolution Link: Residual Laplacian Super-resolution Link: Network for Image Super-Resolution Link: 9. Image Super-Resolution Using Very Deep Residual Channel Attention Networks Link: 10. RDN Link: the model must be trained if there is no pre-trained model in the repo and then saved models should be saved in order to run the test on my custom images all details (updated code, test results, pre-trained models, evaluation) should be provided
I have one python work which needs to be done asap. I will share the details in inbox. please bid.
Hi I want to change open source project code about input data with additional encoder I can give you some codes which i want to use. 1. input data conversion codes 2. Encoder codes
I want someone to compile and run the below codes, provide me with pre-trained models, test on custom datasets, Run Evaluate_PSNR_SSIM to obta...Super-Resolution Link: Residual Laplacian Super-resolution Link: Network for Image Super-Resolution Link: 9. Image Super-Resolution Using Very Deep Residual Channel Attention Networks Link: 10. RDN Link: the model must be trained if there is no pre-trained model in the repo and then saved models should be saved in order to run the test on my custom images all details (updated code, test results, pre-trained models, evaluation) should be provided
The project concerns the classification of the music instrument data: " kaggle datasets download -d aayushme/music-instruments-classification " using ResNet-50 from scratch (no transfer learning). I need codes written for CPU and GPU with Keras (no Pytorch).
Tpc_fuser , pytorch, tensor flow, and Ml models resnet,bert, algorithms
Tpc_fuser , pytorch, tensor flow, and Ml models resnet,bert, algorithms
I need help adding a file to Anaconda. I do not know how to add this. Here are the instructions below from jamescalam/transformers Using Download the for the course. In Anaconda prompt, navigate to the directory containing the and write conda env create -f environment.yaml. Activate the new environ...Anaconda. I do not know how to add this. Here are the instructions below from jamescalam/transformers Using Download the for the course. In Anaconda prompt, navigate to the directory containing the and write conda env create -f environment.yaml. Activate the new environment with conda activate ml. Move onto the Installation of PyTorch section.
There are 4 columns in our dataset. These...each prediction is a 20x18 matrix. Preparing training and the testing dataset were done by me. I developed the Encoder-Decoder deep learning model, but the model couldn't learn it. Things to do in the project: -Encoder-Decoder model -Encoder-Decoder with Attention Mechanism -BERT model Prediction needs to be made using the above models. It needs to run with high accuracy. Pytorch or Tensorflow can be used. I prefer Pytorch. NOTE IMPORTANT: IF YOU DON'T UNDERSTAND THE CODES BELOW OR DO NOT HAVE EXPERIENCE, PLEASE DO NOT BID ON THE PROJECT. DON'T WASTE YOUR TIME AND MINE. 1) 2)
Hi Carlo L., I noticed your profile and would like to offer you my project. We can discuss any details over chat.
...deep learning) and natural language processing (TFIDF, text classification, word embeddings, language models), demonstrated by the ability to dig deep into practical problems and choose the right ML method to solve them Solid Python programming skills to quickly prototype, as well as develop, projects into production. Experience with any modern machine learning frameworks such as Scikit-Learn, Pytorch, Tensorflow, or Spacy is highly desirable. The experience acquired in an academic setting is acceptable. Experience working with large structured or unstructured data sets and running exploratory data analysis. Experience with MongoDB is not required but is a plus. Experience with Databricks is a plus. Good communication skills, including the ability to present and communicate machi...
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
OMG I just reapaired PC my GPU burned I had to replace it. and after that notebboks stopped to work. I got such problem when running a training tried to follow also But i am getting only pip errors. would you helo me with that I am totally stucked....I need help ASAP I need help via AnyDesk
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
...Current cutting-edge technologies and future technologies. Bias and/or privacy. How deep learning techniques are helping/injecting various kinds of biases, or securing/endangering privacy. New deep learning technologies (that support deep learning computation). Hardware and devices (e.g. accelerators, chips, clusters), systems and computing models (e.g. distributed deep learning), libraries (e.g. PyTorch, Caffe, , etc.) Requirements: 1000 - 1200 words, plus references. The paper must have minimally the following clearly labeled sections: A. Introduction/overview, B. Literature review, including summaries (in your own words, of course) of at least two specific examples/articles, emphasizing the most important points, C. Discussions and your comments, and D. Conclusions. E. List of...
I wanna run the Python Project cloning in GitHub. It is include Jupyter and Pytorch.
I have a simple python/keras/resnet50 script to train an image classification model. The resnet50 part is like 40 lines of code. I need someone to port it to pytorch. Below is the heart of the script that needs to change. If you know pytorch, this should be easy to do. This is not the whole script, but if you can show me reason to believe you can do this, I will share the script with you. A successfully completed project will run an entire script with the resnet50 model. The script as it exists with keras does this: load the training and validation data and labels build and compile model train (fit) model build accuracy matrix input_layer=(shape=(nrows,ncolumns,channels)) resnet_model=(weights='imagenet',input_tensor=input_layer,include_top=False)
Hii, To make model robust by using adversearial training, Model: Alexnet, Lenet Dataset: cifar10 Framework: pytorch
I would like to convert some optimization (second-order non convex optimization) PyTorch code to C++. Ideally the code will also implement a supporting package which is imported and have CUDA support, but willing to fund work where the code uses an alternative optimizer like LBFGS and versions with no GPU parallelization support. Also interested in multiprecision support if possible. Rate negotiable depending on ability to tend to details above.
I would like to convert some optimization (second-order non convex optimization) PyTorch code to C++. Ideally the code will also implement a supporting package which is imported and have CUDA support, but willing to fund work where the code uses an alternative optimizer like LBFGS and versions with no GPU parallelization support. Also interested in multiprecision support if possible. Rate negotiable depending on ability to tend to details above.
Hi Vasilatos. My goal is to improve the performance of some pytorch code in any way I can. If I can get a significant time improvement by switching to C++, I would be interested in having you rewrite it there. I'm willing to pay you to implement it in C++. What would be your rate on this with and without gpu parallelization? (e.g. with and without CUDA support, since I am still interested in cpu timing enhancement)
Looking for someone to modify a python script to add a new function. The script utilizes pyTorch to generate models based on a dataset of images. The script has a function to generate interpolation between two random spaces in the model and makes a gif of the result. I am looking for someone to implement a circular interpolation of said function so as to generate a seamless looping gif the code can be found here: the function can be found here: (def generate_interpolation) I would like the function to operate the same (save frames, num steps, etc) however the result will be a seamlessly looping gif (circular interpolation), I have examples from other
we need a developer that will help us in the deployment of computer vision and deep learning solutions into a server. Some of the desired skills for this job are: - Linux Ubuntu - Python - Pytorch and Tensorflow - Docker - REST, Flask or Django - XML, JSON, SQL SSH
A PROGRAM TO CALCULATE THE REMAINING CHANGES FROM THE EXISTING BOOKS, TO SIMULATE A MONTECARLO ESTIMATE AND TO RETURN THE BEST STRATEGY
Need someone with experience in reinforcement learning to help me with my project. - Building extensions of an existing algorithm based on another implementation - testing the performance on different Pybullet environments - Requires extensive knowledge of PyTorch and actor-critic models Need to build an extension of an existing algorithm based on the attached paper
I want to implement Faster R-CNN Pytorch on my custom dataset.
Hi, I am in need of someone with sufficient knowledge of Financial Derivatives and Excel. I have a personal project I need your help with. Please only place bid if you have a sufficient understanding in both finance and excel, thanks!
Hi, I need someone with superb knowledge of Finance, Financial Derivatives and in particular the Monte Carlo Simulation using preferably Microsoft Excel.
please see the attached file to have better description in this project, you will need to train a simple Logistic Regression model. You can use any machine learning library that supports distributed training, such as Tensorflow and PyTorch. You will start with writing the code for training the model on a single machine. Training should start from a random linear vector as your model. Then, calculate the loss of your model on the dataset using: , where and are training data features and label, respectively. The dataset for you to train your model is MNIST handwritten digits database. Train to minimize with an optimizer such as gradient descent. The next task is to modify the workloads so that they can be launched in a distributed way. You will experiment with both synchrono...
Hi Jan Carlo A., I noticed your profile and would like to offer you my project. We can discuss any details over chat.
Specifics: Although I use tensorflow, I need a VMWare player Ubuntu 22.04LTS image that also supports ONNX and pytorch. To that end, the specifics of this project are that the freelancer will: 1. Download a 'clean' Unbuntu 22.04LTS vmdk from , and run it on the free VMWare player. (This will remove any preinstalled dependencies) 2. Download, install and build pytorch and Onnx, and all dependencies, while recording all commands used to perform this task 3. Verify the builds of pytorch and Onnx by converting a small pytorch model to ONNX 4. Download, install and build TensorFlow, and all dependencies, while recording all commands used to perform this task 5. Verify the build of Tensorflow by converting a small ONNX model to TensorFlow Deliverables, ...
Hi Lean Carlo D., I noticed your profile and would like to offer you my project. We have English to Filipino Subtitle translation task. We can discuss any details over chat.
Implement gradient accumulation on batch_size = 2 is currently set at , ideally would like to only update the model at > the 10th iteration (or 100th iteration as an example).
I need 2 TorchScript PyTorch .PT files and accompanying v1.9.0 metadata into an ONNX format needed for a C# project.
Hi, I need someone with extreme knowledge of Financial Derivatives, Monte Carlo Simulation and Excel for a personal project.
