OcraM17

OcraM17's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k418694.3k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.8k1111.1k1.7k

• PKU-YuanGroup/Open-Sora-Plan

  This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

  Language:Python11.8k1543661k

• TencentARC/PhotoMaker

  PhotoMaker [CVPR 2024]

  Language:Jupyter Notebook9.7k101163770

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5.3k42598907

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.8k31263345

• dvlab-research/ControlNeXt

  Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA

  Language:Python1.5k267771

• wangkai930418/awesome-diffusion-categorized

  collection of diffusion model papers categorized by their subareas

  1.4k581966

• lucidrains/transfusion-pytorch

  Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

  Language:Python843352634

• privacytrustlab/ml_privacy_meter

  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

  Language:Python6151940102

• mv-lab/InstructIR

  [ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

  Language:Jupyter Notebook5616039

• PatrickZH/DeepCore

  Code for coreset selection methods

  Language:Python21641840

• internet-explorer-ssl/internet-explorer

  Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.

  1621846

• hitzhangyu/Self-supervised-Image-Enhancement-Network-Training-With-Low-Light-Images-Only

  Self-supervised Image Enhancement Network: Training With Low Light Images Only

  Language:Python13972019

• Tobi-r9/RaMViD

  Language:Python9821411

• wangkai930418/DPL

  Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing (NeurIPS 2023)

  Language:Python93265

• mv-lab/nilut

  [AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/

  Language:Jupyter Notebook70202

• meghdadk/SCRUB

  Language:Jupyter Notebook39256

• alenic/timm-models-explorer

  Timm model explorer

  Language:Python37101

• ml-research/CLEVA-Compass

  Template & code for the Continual Learning EValuation Assessment (CLEVA) Compass

  Language:Python22412

• AlbinSou/unlearning-challenge-metric

  Attempt at reproducing the metric from Neurips 2023 Unlearning Challenge on Kaggle. Code for training checkpoints on retain set and unlearning several models in parallel

  Language:Python12100

• FireFYF/ScrollNet

  ScrollNet for Continual Learning

  Language:Python11102

• Lsabetta/MIND

  Language:Jupyter Notebook70

• ales-git/DeepMiCa

  Automatic segmentation and classification of breast MIcroCAlcifications from mammograms

  Language:Python6102

• khanhnguyen21006/wikipedia_captioning

  Show, Interpret & Tell - AAAI 2023

  Language:Python6110

• OcraM17/DUCK

  Code for the paper "DUCK: Distance-based Unlearning via Centroid Kinematics"

  Language:Python6200

• jbonato1/ASTRA

  Astrocytes Semantic Segmentation

  Language:Jupyter Notebook5231

• jbonato1/SCAR

  Language:Python5111

• ales-git/DeepCADRADS

  CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline

  Language:Python3300

• francesco-p/off-the-shelf-cl

  Simple off-the-shelf solution for Continual Learning of Computer Vision problems. Published at T4V Workshop (CVPR2022)

  Language:Python3200