ygutgutia

ygutgutia's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown319k5.5k70829.6k

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go105k6075.3k8.4k

• fffaraz/awesome-cpp

  A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

  60.8k2k5767.9k

• lichess-org/lila

  ♞ lichess.org: the forever free, adless and open source chess server ♞

  Language:Scala15.9k2309.5k2.3k

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k7116.9k5.7k

• rigtorp/awesome-modern-cpp

  A collection of resources on modern C++

  Language:HTML12k493201.2k

• openai/universe

  Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

  Language:Python7.5k541193962

• prasadgujar/low-level-design-primer

  Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

  6.6k17222.3k

• ept/ddia-references

  Literature references for “Designing Data-Intensive Applications”

  6k2449793

• G33kzD3n/Catalogue

  Language:Shell4.8k12732k

• kungfu-origin/kungfu

  Kungfu Trader

  Language:C++3.5k287551.1k

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.2k23214382

• Farama-Foundation/PettingZoo

  An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

  Language:Python2.7k18383422

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.4k17484791

• tdunning/t-digest

  A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

  Language:Java2k67128228

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.7k14767494

• PlamenStilyianov/FinMathematics

  Books

  Language:Mathematica920380390

• instadeepai/Mava

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

  Language:Python7551645492

• Bigpig4396/Multi-Agent-Reinforcement-Learning-Environment

  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

  Language:Python68297127

• lcswillems/rl-starter-files

  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

  Language:Python6611558185

• vpreethamkashyap/Library

  Refrence_Books_PDFfiles

  Language:HTML571440203

• Farama-Foundation/SuperSuit

  A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

  Language:Python45798158

• charles-cooper/itch-order-book

  Fast implementation of an ITCH order book

  Language:C++346151180

• cyoon1729/Multi-agent-reinforcement-learning

  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

  Language:Python643720

• 011235813/cm3

  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

  Language:Python553211

• matteokarldonati/Counterfactual-Multi-Agent-Policy-Gradients

  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."

  Language:Jupyter Notebook543311

• namhoangduc99/TargetOf2018

  463122

• MehdiZouitine/gym_ma_toy

  :video_game: Toy environment set for multi-agent reinforcement learning and more

  Language:Python38472

• aky91/Multithreaded-Load-Balancer

  Simple TCP Load Balancer in C :octopus:

  Language:C16304

• dylman123/multiagent-particle-envs

  I aim to modify Open AI's multiagent-particle-envs to investigate how multiple agents can coordinate by negotiating with each other in high traffic scenarios, mimicking autonomous vehicles.

  Language:Python62