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allennlp

An open-source NLP research library, built on PyTorch.

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

bit-rnn

Quantize weights and activations in Recurrent Neural Networks.

botorch

Bayesian optimization in PyTorch

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

ciphergan

TensorFlow implementation of CipherGAN

dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

debar

This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Architectures.

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

facenet

Face recognition using Tensorflow

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

The fastai deep learning library

findgbugs

flownetpytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

gaitgraph

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gpflow

Gaussian processes in TensorFlow

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

grist

This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-propagation.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

keras

Deep Learning for humans

miniature-robot