Hacker News
- Machine Learning: The Great Stagnation https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation 218 comments
Linking pages
Linked pages
- The Julia Programming Language https://julialang.org/ 410 comments
- The Bitter Lesson http://incompleteideas.net/IncIdeas/BitterLesson.html 373 comments
- OpenAI https://openai.com/ 137 comments
- Hugging Face – The AI community building the future. https://huggingface.co/ 57 comments
- Keras: the Python deep learning API https://keras.io 46 comments
- Real World Haskell http://book.realworldhaskell.org/ 34 comments
- A Purely Functional Typed Approach to Trainable Models (Part 1) · in Code https://blog.jle.im/entry/purely-functional-typed-models-1.html 32 comments
- OpenAI API https://openai.com/blog/openai-api/ 25 comments
- GitHub - fastai/nbdev: Create delightful software with Jupyter Notebooks https://github.com/fastai/nbdev 22 comments
- https://gym.openai.com/ 18 comments
- DiffEqFlux.jl – A Julia Library for Neural Differential Equations https://julialang.org/blog/2019/01/fluxdiffeq/ 14 comments
- GitHub - Unity-Technologies/ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. https://github.com/Unity-Technologies/ml-agents 5 comments
- GitHub - hasktorch/hasktorch: Tensors and neural networks in Haskell https://github.com/hasktorch/hasktorch 0 comments
- Differentiable Programming and Neural ODEs for Accelerating Model Based Reinforcement Learning and Optimal Control | by Paul Shen | The Startup | Medium https://medium.com/swlh/neural-ode-for-reinforcement-learning-and-nonlinear-optimal-control-cartpole-problem-revisited-5408018b8d71 0 comments
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