george-jiao Goto Github PK

cva-net

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fpus23

free-programming-books

:books: Freely available programming books

george-jiao

Config files for my GitHub profile.

humansystemoptimization

健康学习到150岁 - 人体系统调优不完全指南

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

lightningfsl

LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

numpy-ml

Machine learning, in numpy

ocd

Official PyTorch Implementation

prometheus

A docker-compose stack for Prometheus monitoring

pytorch--3d-medical-images-segmentation--salmon

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sklearn-genetic-opt

Hyperparameters tuning and feature selection, using evolutionary algorithms.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vip-llava

[CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vp

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