Apprentissage automatique · GitHub

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

Gaussian mixture models in PyTorch.

Implementing Attention Augmented Convolutional Networks using Pytorch

TorchLean is the first unified Lean 4 framework for neural-network specification, execution, and verification.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

3DUNet implemented with pytorch

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

由淺入深的深度學習資源 Collection of deep learning materials for everyone

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Repository for our papers: Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics and Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

PyTorch implementation of PSPNet segmentation network

Constrained optimization toolkit for PyTorch

Large Language & Foundation Models for Time Series.

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

Notes for Deep Learning Specialization Courses led by Andrew Ng.