dopamine
SuiSense
Our great sponsors
| dopamine | SuiSense | |
|---|---|---|
| 3 | 13 | |
| 10,365 | 10 | |
| 0.4% | - | |
| 4.8 | 0.0 | |
| 13 days ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | - |
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
SuiSense
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Web App for Suicide Detection using AI
I mean, your own notebooks clearly show that your models aren't converging and yet you're launching and marketing this. (?!?). At the very least you should be labeling your product as non-functional alpha POC - and that's generous.
What are some alternatives?
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
airline-sentiment-streaming - Streaming with Airline Sentiment. Utilizing Cloudera Machine Learning, Apache NiFi, Apache Hue, Apache Impala, Apache Kudu
afinn - AFINN sentiment analysis in Python
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
nlpaug - Data augmentation for NLP
chatgpt-comparison-detection - Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
ai-traineree - PyTorch agents and tools for (Deep) Reinforcement Learning
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
creative-prediction - Creative Prediction with Neural Networks