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100-days-of-ml-code

100 Days of ML Coding

100-plus-python-programming-exercises-extended

100+ python programming exercise problem discussed ,explained and solved in different ways

adversarialnetspapers

The classical paper list with code about generative adversarial nets

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

bilibli_notes2

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

bilstm

chinese_financial_sentiment_dictionary

A Chinese financial sentiment word dictionary

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cs224n-winter17-notes

Course notes for CS224N Winter17

cvpr2020-code

CVPR 2020 论文开源项目合集

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-stock

Deep Learning for Stock Market

deeplearning-models

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

deeplearning4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

gitdir

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lstm_stock_pred_pytorch

stock prediction via lstm using pytorch

machine_learning_beginner

机器学习初学者公众号作品

mogrifierlstm

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

naive_bayes

朴素贝叶斯算法实战

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp_course

YSDA course in Natural Language Processing

numpy-100

100 numpy exercises (with solutions)