ddrrrr

ddrrrr's Stars

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.6k5822.8k11.7k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3393393.8k

• jikexueyuanwiki/tensorflow-zh

  谷歌全新开源人工智能系统TensorFlow官方文档中文版

  Language:TeX12.4k1.3k484.2k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2752253.1k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python8.8k971812k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.3k283221.8k

• peng-zhihui/L-ink_Card

  Smart NFC & ink-Display Card

  Language:C7.3k3081291.8k

• PyQt5/PyQt

  PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

  Language:Python6.6k1951542k

• tensorflow/nmt

  TensorFlow Neural Machine Translation Tutorial

  Language:Python6.4k2514262k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9474876

• BayesWitnesses/m2cgen

  Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  Language:Python2.8k50109241

• aaron-xichen/pytorch-playground

  Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

  Language:Python2.6k5350611

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k10423495

• lucidrains/reformer-pytorch

  Reformer, the efficient Transformer, in Pytorch

  Language:Python2.1k54121255

• asappresearch/sru

  Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

  Language:Python2.1k64133306

• kfrlib/kfr

  Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)

  Language:C++1.7k64186254

• keon/deep-q-learning

  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

  Language:Python1.3k6424455

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python8411019151

• keon/seq2seq

  Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

  Language:Python6891520172

• castorini/hedwig

  PyTorch deep learning models for document classification

  Language:Python5932044126

• jefflai108/Contrastive-Predictive-Coding-PyTorch

  Contrastive Predictive Coding for Automatic Speaker Verification

  Language:Python48042198

• ypwhs/baiduyun_deeplearning_competition

  百度云魅族深度学习应用大赛

  Language:Jupyter Notebook421264181

• yhenon/keras-spp

  Spatial pyramid pooling layers for keras

  Language:Python3941825143

• bmsookim/graph-cnn.pytorch

  Pytorch Implementation for Graph Convolutional Neural Networks

  Language:Python3259374

• matchvs/Poke

  游戏案例之 `斗地主`

  Language:JavaScript19111185

• dragondjf/QMarkdowner

  Editor for Markdown based on PyQt4 with Metro

  Language:Python11923148

• myme5261314/dbn_tf

  RBM/DBN implementation with tensorflow attempt project

  Language:Python798333

• zhuye88/iForest

  iForest anomaly detection codes (Matlab Version)

  Language:Matlab635033

• hongweizeng/cnn-seq2seq

  Language:Python394111