Trainable models and NN optimization tools
An open source implementation of CLIP
A refreshing functional take on deep learning
Models and examples built with TensorFlow
Modular smart mirror platform with a list of installable modules
A simple forecasting package
Resources for deep learning with satellite & aerial imagery
Neural machine translation and sequence learning using TensorFlow
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Extensible, parallel implementations of t-SNE
Library for training machine learning models with privacy for data
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Graph Neural Networks with Keras and Tensorflow 2
Fast Forward Computer Vision (and other ML workloads!)
Hummingbird compiles trained ML models into tensor computation
Lightweight inference library for ONNX files, written in C++
Python package for AutoML on Tabular Data with Feature Engineering
The GPU-powered AI application database
Differentiable SDE solvers with GPU support and efficient sensitivity
Sequence-to-sequence framework, focused on Neural Machine Translation
High-quality single file implementation of Deep Reinforcement Learning
Usable Implementation of "Bootstrap Your Own Latent" self-supervised
MMEditing is a low-level vision toolbox based on PyTorch
Automatic architecture search and hyperparameter optimization
Guide to deploying deep-learning inference networks