10 repositorios
Awesome GitHub RepositoriesAlgorithm Implementations
Libraries and collections providing ready-to-use reinforcement learning algorithms.
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Awesome Algorithm Implementations GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- openai/baselines
openai/baselines
16,733Ver en GitHubBaselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation learning, and training orchestration. It provides a library of standardized learning algorithms used to benchmark and replicate research results, alongside a deep learning policy framework for constructing neural network architectures such as multi-layer perceptrons, convolutional networks, and long short-term memory networks. The project includes a specialized imitation learning toolkit that enables agents to mimic expert behavior through behavior cloning and generative adversarial
Well-tested implementations of standard reinforcement learning algorithms.
Python - rushter/mlalgorithms
rushter/MLAlgorithms
10,983Ver en GitHubMLAlgorithms es una biblioteca educativa de algoritmos de machine learning que consiste en modelos predictivos principales implementados desde cero en Python. Sirve como referencia para que los desarrolladores estudien la lógica interna y el funcionamiento matemático de estos modelos a través de implementaciones limpias y minimalistas. El código base se centra en el estudio de la implementación de algoritmos y la educación en machine learning, proporcionando una forma de entender la mecánica interna mediante la construcción de componentes sin depender de bibliotecas externas pesadas. El proyecto utiliza encapsulación orientada a objetos y vectorización basada en NumPy para gestionar el estado del modelo y realizar operaciones matemáticas. Su arquitectura enfatiza la transparencia mediante el uso de lógica en Python puro para implementar primitivas de álgebra lineal e inicialización modular de parámetros.
Implementations of common machine learning algorithms from scratch.
Python - rlcode/reinforcement-learning
rlcode/reinforcement-learning
3,642Ver en GitHubMinimal and Clean Reinforcement Learning Examples
Minimal and clean examples of various reinforcement learning algorithms.
Python - shangtongzhang/deeprl
ShangtongZhang/DeepRL
3,428Ver en GitHubModularized Implementation of Deep RL Algorithms in PyTorch
Deep reinforcement learning algorithms implemented in PyTorch.
Python - chainer/chainerrl
chainer/chainerrl
1,200Ver en GitHubChainerRL is a deep reinforcement learning library built on top of Chainer.
Deep reinforcement learning algorithms implemented in Chainer.
Python - nivwusquorum/tensorflow-deepq
nivwusquorum/tensorflow-deepq
1,166Ver en GitHubA deep Q learning demonstration using Google Tensorflow
Demonstration of deep Q-learning using the TensorFlow framework.
Jupyter Notebook - instadeepai/jumanji
instadeepai/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
Hardware-accelerated environments for industry-driven research.
Python - yandexdataschool/agentnet
yandexdataschool/AgentNet
Deep Reinforcement Learning library for humans
Library for deep reinforcement learning using Theano and Lasagne.
Python - kaixhin/atari
Kaixhin/Atari
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
Deep Q-networks and asynchronous agents implemented in Torch.
Lua - resibots/blackdrops
resibots/blackdrops
Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
Modular code for model-based policy search algorithms.
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