Starred repositories
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A curated list of awesome big data frameworks, ressources and other awesomeness.
📝 An awesome Data Science repository to learn and apply for real world problems.
Sliding window minimum is an interesting algorithm, so I thought I would implement it in a bunch of different languages. This repository contains (or will contain) implementations of the algorithm …
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 …
✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field 冰霜之地：源码解析、系统设计与工程实践笔记
Stock price trend analysis using Fourier transform
Deploy Dask on job schedulers like PBS, SLURM, and SGE
Let's make an argsort function that works in Cython
Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
Quantitative finance research tools in Python
Quant/Algorithm trading resources with an emphasis on Machine Learning
The Project had moved to elsewhere. Please go to|项目已迁移至别处，请到
This review contains some prevailing methods for action recognition.
5
Updated Nov 26, 2018
Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Automatic extraction of relevant features from time series:
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner