Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

EBOP Model Automatic input Value Estimation Neural network

This repository is about a trained Machine Learning model which predicts Whether the Heart Disease is present or not by considering few factors. This ML model is slected by considering different accuracies of various trained ML models.

Deep Learning with tensor flow and keras

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Machine Learning Operator & Controller for Kubernetes

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

TNP WildVision project repository

DagsHub client libraries

Machine learning pipeline trained to detect X-ray cavities in Chandra images of early-type galaxies.

👓 Laboratory work for the 6th semester of MAI on artificial intelligence

Customizable Advanced Tensorflow(Torch) Objects to Preprocess, Upload, Model and Augment

Sentiment classification and opinion prediction based on a movie reviews dataset.

Visualizer for neural network, deep learning and machine learning models

XSS Attack Machine Learning detection

Batch generation from xarray datasets