InstaDeep Ltd

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

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Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

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TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA...

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🐈‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX

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A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

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Vectorization techniques for fast population-based training.

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🕹️ A diverse suite of scalable reinforcement learning environments in JAX

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🧬 ManyFold: An efficient and flexible library for training and validating protein folding models

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:hibiscus: Population-Based Reinforcement Learning for Combinatorial Optimization

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⚡ Flashbax: Accelerated Replay Buffers in JAX

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