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deeplearning-models

A collection of various deep learning architectures, models, and tips

dive-into-dl-pytorch

Dive into Deep Learning (动手学深度学习) with PyTorch.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

feature-selection

Features selector based on the self selected-algorithm, loss function and validation method

gpubasedacs

This is an implementation of the GPU-based Ant Colony System for solving the traveling salesman problem (TSP).

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imdb-transformer

A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

kaggle-cdiscount-image-classification-challenge

kinetic_monte_carlo_code

landmark-recognition-challenge

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

machine-learning-session

mail-parser

Tokenizer for raw mails

marcucla.github.io

mitie

MITIE: library and tools for information extraction

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-interpretability

a demo of interpretability tool including eli5,pdp,shap,lime

ml_course_andrew_ng

implement basic machine-learning algorithm with octave

models

Models and examples built with TensorFlow

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

nlp-projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction, knowledge graph, text generation, network embedding

numpy-100

100 numpy exercises (100% complete)

pandas_exercises

Practice your pandas skills!

parallel-concorde

Parallel version of the Condorde TSP solver. Using different concurrent priority queues. Concorde solver is from http://www.tsp.gatech.edu/concorde/index.html

prml

PRML algorithms implemented in Python