DingKe's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
keras-team/keras
Deep Learning for humans
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
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
RasaHQ/rasa
đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
kaldi-asr/kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
nltk/nltk
NLTK Source
Theano/Theano
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.com/pymc-devs/pytensor
tiny-dnn/tiny-dnn
header only, dependency-free deep learning framework in C++14
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
baidu-research/warp-ctc
Fast parallel CTC.
NervanaSystems/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
clab/dynet
DyNet: The Dynamic Neural Network Toolkit
NVIDIA/nccl
Optimized primitives for collective multi-GPU communication
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
dmlc/ps-lite
A lightweight parameter server interface
CodeReclaimers/neat-python
Python implementation of the NEAT neuroevolution algorithm
dmlc/mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
brmson/dataset-sts
Semantic Text Similarity Dataset Hub
RasaHQ/rasa-nlu-trainer
DEPRECATED: We recommend using Rasa X https://rasa.com/docs/rasa-x/ for managing NLU data
guojunq/lsgan
This is the project for LS-GAN (Loss-Sensitive GAN)
mila-iqia/platoon
Multi-GPU mini-framework for Theano
janchorowski/kaldi-python
Python wrappers for Kaldi data
sherjilozair/ctc
Numpy and Theano bindings for Baidu's warp-ctc
uoguelph-mlrg/Theano-MPI
MPI Parallel framework for training deep learning models built in Theano
guojunq/glsgan
Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
dmitriy-serdyuk/kaldi-python
Python wrappers for Kaldi data
mcf06/theano_ctc
Theano bindings for Baidu's CTC library.