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mlkd

This is the official code for the paper "Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking".

mmpose0270

model_optimizer

motrv2

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

mqbench

Model Quantization Benchmark

msl-student-becomes-master

namedmask

[CVPRW'23] The official PyTorch implementation of NamedMask

nanosam

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

omnimotion

only_train_once

[ICLR 2023] OTOv2: Automatic, Generic, User-Friendly; [NeurIPS 2021] Only Train Once: A One-Shot Neural Network Training And Pruning Framework

open-sora

Building your own video generation model like OpenAI's Sora

open-sora-plan

This project aim to reproducing Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.

pagcp

PAGCP for the compression of YOLOv5

patch-dm

Code Release for Patch-DM (ICLR 2024)

pytorch-adain-styletransfer

This project is an unofficial implementation of the paper: Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-quantization-demo

A simple network quantization demo using pytorch from scratch.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_adain

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

repq-vit

[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers

repvit

RepViT: Revisiting Mobile CNN From ViT Perspective

rival

Real-World Image Variation by Aligning Diffusion Inversion Chain (NeurIPS 2023 Spotlight)

samfeat

The official implementation of “Segment Anything Model is a Good Teacher for Local Feature Learning”.

sdedit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

segclip

PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"

segment-everything-everywhere-all-at-once

Official implementation of the paper "Segment Everything Everywhere All at Once"

slimsam

SlimSAM: 0.1% Data Makes Segment Anything Slim

stable-diffusion-pytorch-training

Trainable PyTorch implementation of CLIP, DDPM, VQGAN and Stable Diffusion

synthdistill

SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data (IJCB 2023)

toist

[NeurIPS 2022] TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation