Stars
📖 An approachable introduction to Assembly.
Bootstrap Kubernetes the hard way. No scripts.
Full-featured library for writing Alfred 3 & 4 workflows
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🐼 Chinese translations for classic software development resources
Resumes generated using the GitHub informations
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
退出知乎好帮手——狗日的知乎，备份自己的答案，取消所有点赞，批量替换所有答案
FoundationDB - the open source, distributed, transactional key-value store
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
A checklist of tactics for marketing your startup.
Open source Markdown editor for macOS.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Code for the TriviaQA reading comprehension dataset
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
Notes talking about the design and implementation of Apache Spark
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This will contain my notes for research papers that I read.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A complete daily plan for studying to become a machine learning engineer.
An Open Source Machine Learning Framework for Everyone