reinforcement-learning

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ray-project / ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

python java data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed model-selection hyperparameter-optimization ray automl hyperparameter-search serving rllib

Updated Oct 14, 2022
Python

eugeneyan / applied-ml

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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

search data-science machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning production data-engineering data-discovery recsys data-quality applied-data-science applied-machine-learning

Updated Oct 14, 2022

Unity-Technologies / ml-agents

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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

machine-learning reinforcement-learning deep-learning unity unity3d deep-reinforcement-learning neural-networks

Updated Oct 4, 2022
C#

labmlai / annotated_deep_learning_paper_implementations

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🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers

Updated Sep 24, 2022
Jupyter Notebook

tensorflow / tensor2tensor

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Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

machine-learning reinforcement-learning deep-learning machine-translation tpu

Updated Sep 13, 2022
Python

ShangtongZhang / reinforcement-learning-an-introduction

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Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning artificial-intelligence

Updated May 10, 2022
Python

ddbourgin / numpy-ml

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Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Jun 11, 2022
Python

kmario23 / deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks

Updated Apr 10, 2022
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bulletphysics / bullet3

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Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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Updated Oct 13, 2022
C++

Hvass-Labs / TensorFlow-Tutorials

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TensorFlow Tutorials with YouTube Videos

machine-learning youtube tutorial reinforcement-learning deep-learning neural-network tensorflow python-notebook

Updated Jan 15, 2021
Jupyter Notebook

VowpalWabbit / vowpal_wabbit

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Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

c-plus-plus machine-learning reinforcement-learning cpp active-learning online-learning contextual-bandits learning-to-search