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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

cracking-the-data-science-interview

Ultimate Guide to Data Science Interview

cs-video-courses

List of Computer Science courses with video lectures.

cs224d

CS224D Assignments

cs231n

Stanford CS231n Convolutional Neural Networks for Visual Recognition Assignments

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

deepneuralnet-qsar

easytrader

提供券银河／华泰客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

ibm3202

Google Colab Tutorials for IBM3202

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

innerouterrnn

Inner- and Outer Recursive Neural Networks for Chemoinformatics

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

leetcode-sql

Answers for all 153 database questions on LeetCode [Update on 2021/04/03]

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.

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

natural-language-processing

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

specter

Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics

tensorflow-models

Models built with TensorFlow

wbc-classification

Classifying White Blood Cells with CNNs