Note
neptune-contrib
| Note | neptune-contrib | |
|---|---|---|
| 48 | - | |
| 35 | 27 | |
| - | - | |
| 9.9 | 0.0 | |
| 3 days ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
-
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.
neptune-contrib
We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
scikit-learn - scikit-learn: machine learning in Python
deep-significance - Enabling easy statistical significance testing for deep neural networks.
Keras - Deep Learning for humans
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.
tensorflow - An Open Source Machine Learning Framework for Everyone
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
muzero-general - MuZero
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.