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  • InstaDeep
  • Cape Town

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  1. CleanRL.jl Public

    Simple single file implementations of Reinforcement Learning algorithms in Julia

    Julia 20

  2. ScalableES.jl Public

    Implementation of OpenAI's ES in julia

    Julia 4

  3. es_pytorch Public

    High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

    Python 26

  4. CoDeepNEAT Public

    An implementation of CoDeepNEAT using pytorch with extensions

    Python 31 10

  5. instadeepai/Mava Public

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

    Python 770 100

  6. instadeepai/jumanji Public

    🕹️ A diverse suite of scalable reinforcement learning environments in JAX

    Python 691 89

1,578 contributions in the last year

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Activity overview

Contributed to instadeepai/Mava, instadeepai/jumanji, instadeepai/marl-eval and 11 other repositories
Loading A graph representing sash-a's contributions from February 25, 2024 to February 25, 2025. The contributions are 88% commits, 8% code review, 3% pull requests, 1% issues. 8% Code review 1% Issues 3% Pull requests 88% Commits

Contribution activity

February 2025

Created 3 commits in 2 repositories
Reviewed 5 pull requests in 2 repositories
7 contributions in private repositories Feb 5 – Feb 20
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