Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Python Implementation of Reinforcement Learning: An Introduction
Curated list of Python resources for data science.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
A more maintainable, easier to share version of the infamous http://mindprod.com/jgloss/unmain.html
This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
selective-search for object recognition
Paper List for Style Transfer in Text
Open-source simulator for autonomous driving research.
Make huge neural nets fit in memory
Example of backprop which uses constant memory
⏰ AI conference deadline countdowns
An educational resource to help anyone learn deep reinforcement learning.
A little tool that helps you organise your directory into meaningful subdirectories.
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
Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
A python package for sampling from determinantal point processes
An Open-Source Package for Neural Relation Extraction (NRE)
A simple tutorial about effectively using pdb
Must-read papers on neural relation extraction (NRE)
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Kaggle | Instacart Market Basket Analysis🥕🥉
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.