Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome_ML
Some good resources to study machine learning 📖
https://github.com/LovelyBuggies/Awesome_ML
- fast.ai: numerical-linear-algebra
- Einstein Summation in Deep Learning
- QC for ML: A Survey
- UIUC: QC and Shor's Algorithm
- IIT: Seminar on Quantum Computing
- UT: Quantum Machine Learning(YouTube)
- MPI: Introduction to Tensors
- Tensor Network
- Tensors.net
- Tensor Decompositions and Applications
- TN VS ML
- UCB: ML@Berkley
- 林轩田机器å¦ä¹ 基础(bilibili)
- Columbia: CS4771 Machine Learning
- Ring AllReduce
- UIUC: Calculus of Variations and Optimal Control Theory
- Cool Things in Optimal Control and Physics
- HJB Equations & Stochastic Differential Equations
- OpenAI: Spinning Up
- Stanford: Reinforcement Learning An Introduction
- UCB: CS294 Deep Reinforcement Learning
- 强化å¦ä¹ 线路
- Policy Gradient Algorithms
- DRL & Meta-Learning Series
- Understanding AC Methods
- Distributional RL
- TD error vs advantage vs Bellman error
- GAN VS Actor-Critic
- KD 20篇 paper 回顾
- KD: A Survey
- KD and S-T Learning for CV: A Review
- BAIR
- OpenAI Jobs
- DeepMind Research Jobs
- Top AI Fellowship
- Fellowship & Award Opportunities
- Open Source Projects
- Apple Career for ML
- AIRS Research
- IDEA Research
- MSRA Jobs
- Google Research
- Facebook AI
- ByteDance AI Lab
- Tencent AI Lab
- Amazon Science
- Insight Research Centre
- AI Conference Due
- Tips for Research
Programming Languages