Mava
lingvo
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| Mava | lingvo | |
|---|---|---|
| 5 | 1 | |
| 645 | 2,781 | |
| 5.7% | 0.2% | |
| 9.9 | 8.7 | |
| 4 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
Mava
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Starting wth Multi Agent Reinforcement Learning
If you want to play with models and algorithms around MARL, take a look at Mava.
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Recomendations of framework/library for MARL
These are the main reasons we built Mava , a library built specifically for MARL. We are also in the process of rewriting it to be simpler to compose MARL components (communication, central training etc), and we are rewriting our codebase in JAX, so really looking forward to improved performance! (Disclaimer, I am one of the people working on Mava).
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Training with multiple agents.
The OpenSpiel games (as well as several others) are also available from MAVA (https://github.com/instadeepai/Mava).
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[R] Mava: a research framework for distributed multi-agent reinforcement learning
https://arxiv.org/abs/2107.01460 Mava, a scalable framework for research in multi-agent reinforcement learning, contains implementation for several multi-agent systems like multi-agent DQN (MADQN), MADDPG, MAPPO, MAD4PG, DIAL, QMIX, and VDN, and integrates well with multi-agent RL environments like PettingZoo, Flatland, OpenSpiel, RoboCup, and SMAC. On GitHub: https://github.com/instadeepai/Mava
lingvo
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Voice assistant that can be taught how to swear (Part 1)
To calculate the Word Error Rate I took a python script from the tensorflow/lingvo project and rewrote it in js. In essence, it is just a simple solution of the Edit Distance task, in addition to error calculation for each of the three types: deletion, insertion, and replacement. In the end, I did not the most intelligent method of comparing texts, and yet it was sufficient enough to later on add parameters to queries to Speech-to-Tex.
What are some alternatives?
acme - A library of reinforcement learning components and agents
TTS-Voice-Wizard - Speech to Text to Speech. Song now playing. Sends text as OSC messages to VRChat to display on avatar. (STTTS) (Speech to TTS) (VRC STT System) (VTuber TTS)
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.
deepspeech-playbook - A crash course for training speech recognition models using DeepSpeech.
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
spinorama - A library to display and compare spinorama (speakers measurements) graphs.