Stars
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
StyleGAN - Official TensorFlow Implementation
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Keras implementations of Generative Adversarial Networks.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A natural language modeling framework based on PyTorch
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Using the jedi autocompletion library for VIM.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
PyTorch deep learning projects made easy.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
NVIDIA's Deep Imagination Team's PyTorch Library
Collection of generative models in Tensorflow
Lightweight library to build and train neural networks in Theano
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Official implementation of Character Region Awareness for Text Detection (CRAFT)
torch-optimizer -- collection of optimizers for Pytorch
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
Make huge neural nets fit in memory
Easy benchmarking of all publicly accessible implementations of convnets
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
Interpretability and explainability of data and machine learning models
Multi-class confusion matrix library in Python
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"