Stars
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
StyleGAN2-ADA - Official PyTorch implementation
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A Flow-based Generative Network for Speech Synthesis
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
StyleGAN2 - Official TensorFlow Implementation
The implementation of StyleGAN on PyTorch 1.0.1
Perform data science on data that remains in someone else's server
nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
🎓 Path to a free self-taught education in Computer Science!
The author's officially unofficial PyTorch BigGAN implementation.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
pingcsu / SteganoGAN
Forked from DAI-Lab/SteganoGANSteganoGAN is a tool for creating steganographic images using adversarial training.
An Open Source Machine Learning Framework for Everyone
Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Fast, flexible and easy to use probabilistic modelling in Python.
Recurrent Neural Network - A curated list of resources dedicated to RNN