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Search results for pytorch algorithms

97 search results found

Ai Learn ⭐ 8,256

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Stable Baselines3 ⭐ 7,292

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Captum ⭐ 4,393

Model interpretability and understanding for PyTorch

Cleanrl ⭐ 3,947

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

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Deep Reinforcement Learning With Pytorch ⭐ 2,741

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Learn2learn ⭐ 2,283

A PyTorch Library for Meta-learning Research

Sagemaker Python Sdk ⭐ 1,994

A library for training and deploying machine learning models on Amazon SageMaker

Garage ⭐ 1,677

A toolkit for reproducible reinforcement learning research.

Deeplearning_tutorials ⭐ 1,216

The deeplearning algorithms implemented by tensorflow

D3rlpy ⭐ 1,149

An offline deep reinforcement learning library

Machinelearning ⭐ 1,029

Machine learning algorithms implemented by pure numpy

FSA/FST algorithms, differentiable, with PyTorch compatibility.

Clustergcn ⭐ 691

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Rl Starter Files ⭐ 571

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

Rl_algorithms ⭐ 470

Structural implementation of RL key algorithms

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Grokking Deep Reinforcement Learning

Reinforcement Learning Algorithms ⭐ 407

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Carefree Learn ⭐ 400

Deep Learning ❤️ PyTorch

Studies ⭐ 387

Notes of Develop/NLP/DeepLearning/Algorithms/LeetCodes

Libtorch Yolov3 ⭐ 366

A Libtorch implementation of the YOLO v3 object detection algorithm

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning Algorithms Based on PyTorch

Haste: a fast, simple, and open RNN library

Quick Nlp ⭐ 275

Pytorch NLP library based on FastAI

Naszilla ⭐ 269

Naszilla is a Python library for neural architecture search (NAS)

Pytorch Computer Vision Cookbook ⭐ 268

PyTorch Computer Vision Cookbook, Published by Packt

The Python Workshop ⭐ 245

A New, Interactive Approach to Learning Python

My Awesome Ai Bookmarks ⭐ 210

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Deeplearing Interview Awesome 2024 ⭐ 196

We'll cover some of the most common Deep Learning Interview Questions and answers and provide detailed answers to help you

Esrnn Gpu ⭐ 188

PyTorch GPU implementation of the ES-RNN model for time series forecasting

A PyTorch Library for Reinforcement Learning Research

Pytorch Nmf ⭐ 187

A pytorch package for non-negative matrix factorization.

Galaxy Federated Learning Framework （星际联邦学习框架）

Deeppruner ⭐ 184

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

Disentanglement Pytorch ⭐ 182

Disentanglement library for PyTorch

Spinning Up Basic ⭐ 164

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Large-scale, multi-GPU capable, kernel solver

Continual Learning Benchmark ⭐ 158

Evaluate three types of task shifting with popular continual learning algorithms.

Deeprl_pytorch ⭐ 155

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

Few_shot_meta_learning ⭐ 148

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Torch Ac ⭐ 134

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Heinsen_routing ⭐ 125

Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

Neuralsteganography ⭐ 121

STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Practical Ml ⭐ 104

Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.

A Python library for Secure and Explainable Machine Learning

Random Network Distillation Pytorch ⭐ 99

Random Network Distillation pytorch

Curiosity Driven Exploration Pytorch ⭐ 98

Curiosity-driven Exploration by Self-supervised Prediction

Layer To Layer Pytorch ⭐ 92

PyTorch implementation of L2L execution algorithm

Deep Dream In Pytorch ⭐ 86

Pytorch implementation of the DeepDream computer vision algorithm

Implementations of quasi-hyperbolic optimization algorithms.

Soft Nms ⭐ 81

Python and Pytorch two implements of Soft NMS algorithm

Train PyTorch Models using the Genetic Algorithm with PyGAD

Awesome Ai Algorithm ⭐ 78

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

👁🙅‍♀️Differentially Private Optimization Algorithms for PyTorch

Ml Starter Pack ⭐ 70

A collection of Machine Learning algorithms written from sctrach.

Pytorchot ⭐ 70

implements optimal transport algorithms in pytorch

Pyfilter ⭐ 67

Particle filtering and sequential parameter inference in Python

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Experiments with reinforcement learning and recurrent neural networks

L2hmc Qcd ⭐ 60

Application of the L2HMC algorithm to simulations in lattice QCD.

Reprieve ⭐ 59

A library for evaluating representations.

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Imitation_learning ⭐ 56

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Localaggregation Pytorch ⭐ 56

Learn_machine_learning_in_5_months ⭐ 54

This is the Curriculum to learn Machine Leaning from scratch to expert.

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

Temporal Fields ⭐ 53

Code for training temporal fully-connected CRF models in Torch

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Mtcnn Pytorch ⭐ 50

pytorch implementation of face detection algorithm MTCNN

Berkeleydeeprlcourse Homework Pytorch ⭐ 49

Assignments for CS294-112 Fall2018 in Pytorch

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Torch_cg ⭐ 48

Preconditioned Conjugate Gradient in Pytorch

Rl Experiments ⭐ 47

High-quality implementations of deep reinforcement learning algorithms for experiments

Torch Discounted Cumsum ⭐ 44

Fast Discounted Cumulative Sums in PyTorch

Noise Contrastive Estimation Nce For Pytorch ⭐ 43

Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

Birdnet2 ⭐ 41

Official Pytorch implementation of Birdnet+

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Reweight Gpt ⭐ 36

Reweight GPT - a simple neural network using transformer architecture for next character prediction

Multi Type_vehicles_flow_statistics ⭐ 34

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

Reinforcementlearning ⭐ 32

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Pytorch Sm3 ⭐ 25

Implements the SM3-II adaptive optimization algorithm for PyTorch.

Auction Lap ⭐ 24

Auction algorithm for solving linear assignment problem (LAP)

Dynamicalcomponentsanalysis ⭐ 24

Dynamical Components Analysis

Yolov2.pytorch ⭐ 22

YOLOv2 algorithm reimplementation with pytorch

Diffqcqp ⭐ 22

Implementations of QP/QCQP solvers using ADMM algorithm

Reinforcement Learning Replications ⭐ 22

Reinforcement Learning Replications is a set of Pytorch implementations of reinforcement learning algorithms.

Neuralnilm_pytorch ⭐ 21

This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.

Reinforcement Learning Code ⭐ 20

A repository for codes of reinforcement learning algorithms with PyTorch

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