LightnessOfBeing's Stars
alibaba/easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
jacobgil/vit-explain
Explainability for Vision Transformers
OliverRensu/TinyMIM
maslenkovas/ds_jobs_project
The project aimed to analyze Data Scientist job market in UAE.
UCSC-VLAA/DMAE
[CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
szq0214/S2-BNN
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
EdisonLeeeee/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
amazon-science/exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
CompVis/stable-diffusion
A latent text-to-image diffusion model
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
rwightman/efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
szq0214/FKD
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
c-okelly/anki-remote-decks
Addon for Anki - Creating remote decks in Google Docs
szq0214/Un-Mix
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
imbue-ai/self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
shap/shap
A game theoretic approach to explain the output of any machine learning model.
kabartay/OpenUnivCourses
FREE ML Courses from Top Universities in CS
nltk/nltk
NLTK Source
osai-ai/dokai
Collection of Docker images for ML/DL and video processing projects
hristo-vrigazov/dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
Inkln/StyleTransferWithCatalyst
This repository shows style transfer in realtime experiment with catalyst deep learning framework
selimsef/dfdc_deepfake_challenge
A prize winning solution for DFDC challenge
SamsungLabs/fbrs_interactive_segmentation
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
MartinHeinz/python-project-blueprint
Blueprint/Boilerplate For Python Projects
TezRomacH/python-package-template
🚀 Your next Python package needs a bleeding-edge project structure.
xdanaux/moderncv
A modern curriculum vitae class for LaTeX
jgrapht/jgrapht
Master repository for the JGraphT project