dopamine
lmgtfy
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| dopamine | lmgtfy | |
|---|---|---|
| 3 | 1 | |
| 10,371 | 21 | |
| 0.5% | - | |
| 4.8 | 7.9 | |
| 27 days ago | 28 days ago | |
| Jupyter Notebook | Svelte | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
dopamine
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Fast and hackable frameworks for RL research
I'm tired of having my 200m frames of Atari take 5 days to run with dopamine, so I'm looking for another framework to use. I haven't been able to find one that's fast and hackable, preferably distributed or with vectorized environments. Anybody have suggestions? seed-rl seems promising but is archived (and in TF2). sample-factory seems super fast but to the best of my knowledge doesn't work with replay buffers. I've been trying to get acme working but documentation is sparse and many of the features are broken.
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RL review
You can also reference the source code for some of the popular implementations from open source RL libraries like stablebaselines3, RLlib, CleanRL, or Dopamine. These can help you if you’re trying to compare your implementation to a “standard”.
- Rainbow Library
lmgtfy
What are some alternatives?
SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
google-map-react - Google map library for react that allows rendering components as markers :tada:
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
yapf - A formatter for Python files
airline-sentiment-streaming - Streaming with Airline Sentiment. Utilizing Cloudera Machine Learning, Apache NiFi, Apache Hue, Apache Impala, Apache Kudu
functions-samples - Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase
nlpaug - Data augmentation for NLP
google-api-nodejs-client - Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
bert - TensorFlow code and pre-trained models for BERT
ai-traineree - PyTorch agents and tools for (Deep) Reinforcement Learning
GHunt - 🕵️♂️ Offensive Google framework.