mikekd106's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
facebookresearch/fastText
Library for fast text representation and classification.
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
junyanz/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
tonybeltramelli/pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
apple/turicreate
Turi Create simplifies the development of custom machine learning models.
lengstrom/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
luanfujun/deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
google-deepmind/sonnet
TensorFlow-based neural network library
tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
googlecreativelab/quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
microsoft/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
google/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
google/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
AppliedDataSciencePartners/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Jiakui/awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
thunlp/KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
visipedia/inat_comp
iNaturalist competition details
pytorchbearer/torchbearer
torchbearer: A model fitting library for PyTorch
ne7ermore/torch-light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
bourdakos1/capsule-networks
A Tensorflow implementation of Capsule Networks
clips/clicr
Machine reading comprehension on clinical case reports
thtang/ADLxMLDS2017
Deep learning works for ADLxMLDS (CSIE 5431) in NTU