Neonsign247

Neonsign247's Stars

• jiwoohong93/ai_dep

  AI Development in Evolving Policy [AI DEP]

  Language:Python135

• tucan9389/pytorch-Korean-NER

  Language:Python6

• JongSuk1/EquiAV

  Language:Python161

• Westlake-AI/Awesome-Mixup

  [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)

  13512

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k179

• hushon/noisy-label

  Language:Jupyter Notebook12

• hushon/ood-diffusion

  Language:Python17

• HanGyojin/RLB-MI

  This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.

  Language:Python363

• LeeDongYeun/deepfake-detection

  Language:Jupyter Notebook355

• LeeDongYeun/FixNoise

  Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper)

  Language:Jupyter Notebook17710

• LeeDongYeun/keras-m2det

  Keras implementation of m2det object detection.

  Language:Python4812

• vinvino02/GLPDepth

  GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

  Language:Python19244

• feidfoe/learning-not-to-learn

  [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data

  Language:Python11113

• JiwanHur/ISTY

  This is a codebase for I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images (WACV 2023).

  Language:Python161

• Akuli/python-tutorial

  A Python 3 programming tutorial for beginners.

  Language:Python1.4k610

• lilijiangg/AutoDiffusion

  424

• apple/ml-mgie

  Language:Python3.9k251

• apple/ml-aim

  This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

  Language:Python1k50

• lysyi3m/macos-terminal-themes

  Color schemes for default macOS Terminal.app

  Language:Swift6k889

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python11.9k721

• jackcook/predictive-spy

  Spying on Apple’s new predictive text model

  Language:Python1328

• mazhengcn/suggested-notation-for-machine-learning

  This introduces a suggestion of mathematical notation protocol for machine learning.

  Language:TeX44273

• microsoft/BatteryML

  Language:Jupyter Notebook516109

• tysam-code/hlb-CIFAR10

  Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  Language:Python1.2k76

• facebookresearch/dropout

  Code release for "Dropout Reduces Underfitting"

  Language:Python31216

• naver-ai/hmix-gmix

  Language:Jupyter Notebook213

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.5k992

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.3k3.4k

• Westlake-AI/openmixup

  CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

  Language:Python63061

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.4k2.3k