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acme icon acme

A library of reinforcement learning components and agents

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

autodl icon autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

azure-sdk-for-net icon azure-sdk-for-net

This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.

azure-sentinel icon azure-sentinel

Cloud-native SIEM for intelligent security analytics for your entire enterprise.

batch_rl icon batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

bsuite icon bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

dall-e icon dall-e

PyTorch package for the discrete VAE used for DALLยทE.

darwin-py icon darwin-py

Library and commandline tool for managing datasets on darwin.v7labs.com

datadrivendiffeq.jl icon datadrivendiffeq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

deep-learning icon deep-learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

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