ThomasOdum

tensorflow

An Open Source Machine Learning Framework for Everyone

awesome-go

A curated list of awesome Go frameworks, libraries and software

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

algorithms

Minimal examples of data structures and algorithms in Python

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

YYeTsBot

🎬 人人影视 机器人和网站，包含人人影视全部资源以及众多网友的网盘分享

tutorials

机器学习相关教程

3D-Machine-Learning

A resource repository for 3D machine learning

Qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

deeplearning4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

icrawler

A multi-thread crawler framework with many builtin image crawlers provided.

ssd-6d

Inference code and trained networks for SSD-6D

five_decorators

Five useful decorators to inspire your code in Python.

BB8

A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

deeplearning-papernotes

apollo

An open autonomous driving platform

vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).