Note
deep-significance
| Note | deep-significance | |
|---|---|---|
| 48 | 6 | |
| 35 | 316 | |
| - | - | |
| 9.9 | 4.0 | |
| 3 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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Note
- Easily implement parallel training.
- This project allows you to easily implement parallel training with the multiprocessing module.
-
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.
deep-significance
- [P] deep-significance: Enabling easy statistical significance testing for deep neural networks
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[D] Statistical Significance in Deep RL Papers: What is going on?
Because I was so frustrated by this topics as well, I actually reimplemented and packaged a test specifically for NNs and gave it a lot of documentation in the hope of lowering the entry barrier as much as possible https://github.com/Kaleidophon/deep-significance
- deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [Project] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
nannyml - nannyml: post-deployment data science in python
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.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
muzero-general - MuZero
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution