khyh

khyh's Stars

• pyRiemann/pyRiemann

  Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

  Language:Python626164

• alexandrebarachant/kaggle-seizure-prediction-challenge-2016

  Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle

  Language:Matlab9632

• wepe/tgboost

  Tiny Gradient Boosting Tree

  Language:Java320103

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.6k3.8k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  305k76.6k

• basveeling/wavenet

  Keras WaveNet implementation

  Language:Python1.1k218

• tomlepaine/fast-wavenet

  Speedy Wavenet generation using dynamic programming :zap:

  Language:Python1.8k308

• RAMitchell/GPUTree

  Language:Java41

• thomaskeck/FastBDT

  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface

  Language:C++24746

• baidu/fast_rgf

  Multi-core implementation of Regularized Greedy Forest

  Language:C++465111

• orobix/retina-unet

  Retina blood vessel segmentation with a convolutional neural network

  Language:Python1.3k468

• limexp/xgbfir

  XGBoost Feature Interactions Reshaped

  Language:Python42380

• toshi-k/kaggle-distracted-driver-detection

  10th place solution in "State Farm Distracted Driver Detection"

  Language:Lua7129

• richzhang/colorization

  Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

  Language:Python3.3k925

• satoshiiizuka/siggraph2016_colorization

  Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

  Language:Lua2.2k302

• nedbat/byterun

  A Python implementation of a Python bytecode runner

  Language:Python1.3k255

• orangeduck/BuildYourOwnLisp

  Learn C and build your own programming language in under 1000 lines of code!

  Language:HTML2.9k394

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k7.9k

• glouppe/phd-thesis

  Repository of my thesis "Understanding Random Forests"

  Language:TeX527151

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.4k4.5k

• jocicmarko/ultrasound-nerve-segmentation

  Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

  Language:Python939329

• diefimov/santander_2016

  The 3rd place solution for Santander Customer Satisfaction competition

  Language:C++12257

• muupan/async-rl

  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

  Language:Python40183

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k2.3k

• fyu/dilation

  Dilated Convolution for Semantic Image Segmentation

  Language:Python782265

• ZFTurbo/KAGGLE_DISTRACTED_DRIVER

  Solutions

  Language:Python9153

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.6k2.6k

• SkidanovAlex/ShallowNeuralDecisionForest

  Implementation of Deep Neural Decision Forest based on MSR paper

  Language:Python2910

• bbabenko/simple_convnet

  A basic implementation of convolutional neural nets

  Language:Python5310

• bojanvujatovic/cudaNN

  Neural Network implementation in C++ and CUDA.

  Language:C++1