mlw67

darknet

Convolutional Neural Networks

cifar-10-cnn

Play deep learning with CIFAR datasets

Bytedance_ICME2019_challenge_baseline

Bytedance_ICME2019_challenge_baseline

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Bytedance_ICME_challenge

mlw67.github.io

This is the blog to write down research and summarize some Book and paper notes.

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

scikit-learn

scikit-learn: machine learning in Python

O2O-Coupon-Usage-Forecast

1st Place Solution for O2O Coupon Usage Forecast

ML_Note

A note of Machine Learning.

keras

Deep Learning for humans

tensorflow

Computation using data flow graphs for scalable machine learning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

deeplearningbook-chinese

Deep Learning Book Chinese Translation

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

Rec_ML

Reconstruction of Machine Learning Algorithms.

NonparametricKNN

A KNN regressor that gives predictions based on customized loss function.

PRML

PRML algorithms implemented in Python

char-rnn

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

scikit-learn-doc-cn

scikit-learn机器学习库中文文档翻译项目

DMTK

Microsoft Distributed Machine Learning Toolkit

voxnet

3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

3dcnn.torch

Volumetric CNN for feature extraction and object classification on 3D data.

deconvfaces

Generating faces with deconvolution networks

deep-learning-book

MIT Deep Learning Book in PDF format