xgastaldi's Stars
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
hysts/pytorch_shake_shake
A PyTorch implementation of shake-shake
tensorpack/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
facebookresearch/fairseq-lua
Facebook AI Research Sequence-to-Sequence Toolkit
YixuanLi/convergent_learning
Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
gaohuang/SnapshotEnsemble
Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
Websail-NU/torch-defseq
Neural network definition models
rizar/attention-lvcsr
End-to-End Attention-Based Large Vocabulary Speech Recognition
UKPLab/deeplearning4nlp-tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
shashankg7/Deep-Learning-for-NLP-Resources
List of resources to get started with Deep Learning for NLP.
SeanNaren/deepspeech.torch
Speech Recognition using DeepSpeech2 network and the CTC activation function.
carpedm20/NAF-tensorflow
"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
floodsung/DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
clinicalml/structuredinference
Structured Inference Networks for Nonlinear State Space Models
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
yueatsprograms/Stochastic_Depth
Deep Networks with Stochastic Depth
microsoft/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
facebookarchive/fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
NervanaSystems/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware