Note
Andrew-NG-Notes
| Note | Andrew-NG-Notes | |
|---|---|---|
| 48 | 1 | |
| 35 | 2,248 | |
| - | - | |
| 9.9 | 0.0 | |
| 3 days ago | 2 months ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Note
- Easily implement parallel training.
- This project allows you to easily implement parallel training with the multiprocessing module.
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Train neural networks in parallel using Python's multiprocessing module.
https://github.com/NoteDancing/Note This project allows you to train neural network in parallel using Python's multiprocessing module.
- A system for deep learning and reinforcement learning.
- A system for deep learning and reinforcement learning. (r/MachineLearning)
- [P] A system for deep learning and reinforcement learning.
Andrew-NG-Notes
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
deep-significance - Enabling easy statistical significance testing for deep neural networks.
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
gdrl - Grokking Deep Reinforcement Learning
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
muzero-general - MuZero
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.