haoweiz23

Awesome-Prompt-Adapter-Learning-for-VLMs

A curated list of awesome prompt/adapter learning methods for vision-language models.

common_metrics_on_video_quality

You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

AAAI-2024-Papers

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

video2dataset

Easily create large video dataset from video urls

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

LivePortrait

Bring portraits to life!

Efficient-PyTorch

My best practice of training large dataset using PyTorch.

PyTorch-LMDB

Scripts to work with LMDB + PyTorch for Imagenet training

Stable-Diffusion-ONNX-FP16

Example code and documentation on how to get Stable Diffusion running with ONNX FP16 models on DirectML. Can run accelerated on all DirectML supported cards including AMD and Intel.

DistDiff

The official repository of "Distribution-Aware Data Expansion with Diffusion Models".

prompt-to-prompt

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

minSDXL

Huggingface-compatible SDXL Unet implementation that is readily hackable

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

STL10

Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/

diffusion_inversion

Code for "Training on Thin Air: Improve Image Classification with Generated Data"

EfficientVMamba

Code Implementation of EfficientVMamba

da-fusion

Effective Data Augmentation With Diffusion Models

Awesome-Efficient-Segment-Anything

One summary of efficient segment anything models

RepAdapter

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Awesome-Cloud-Edge-AI

A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper notes are also provided.

hfnet-tf2onnx

Change HFNet trained model from Tensorflow to ONNX

Awesome-Fine-grained-Visual-Classification

Awesome Fine-grained Visual Classification

Awesome-Incremental-Learning

Awesome Incremental Learning

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

CameraTraps

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

camera_traps_self_supervised

This repository contains the code for reproducing the results of our ICCV 2021 paper: "Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring".