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
Last synced: 4 days ago
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Distributed Deep Learning
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Control Theory and Reinforcement Learning
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- 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
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
- Understanding AC Methods
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Opportunities
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- BAIR
- OpenAI Jobs
- DeepMind Research Jobs
- Top AI Fellowship
- Apple Career for ML
- AIRS Research
- MSRA Jobs
- Google Research
- ByteDance AI Lab
- Tencent AI Lab
- Amazon Science
- Insight Research Centre
- Top AI Fellowship
- Top AI Fellowship
- OpenAI Jobs
- DeepMind Research Jobs
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
- Top AI Fellowship
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Mathematics Basics
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Physics Basics
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Tensor Theory
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Machine Learning Basics
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Adversial Learning and Imitation Learning
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Miscellaneous
Programming Languages
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