mengkunzhao's repositories

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

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Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

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zh-cn

中文版学术主页

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Awesome-diffusion-model-for-image-processing

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

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pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

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Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

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awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

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ChangeFormer

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

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Awesome-Geospatial

Long list of geospatial tools and resources

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deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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fiftyone

The open-source tool for building high-quality datasets and computer vision models

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TDC

Therapeutics Data Commons: Artificial Intelligence Foundation for Therapeutic Science

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satellite-image-deep-learning

Deep learning with satellite & aerial imagery

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Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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DeepClustering

Methods and Implements of Deep Clustering

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Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

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research-method

论文写作与资料分享

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torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary

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HSI_baseline

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

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NvidiaTLTActiveLearning

Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).

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KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

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Lightly_LabelStudio_AL

uses Lightly and LabelStudio to performa a complete AL workflow from dataset scraping to usage

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awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

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ddfnet

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

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mtrl

Multi Task RL Baselines

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vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

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fairscale

PyTorch extensions for high performance and large scale training.

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mobile-vision

Mobile vision models and code

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