shuvozitghose Goto Github PK

adacrowd

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

aiaiart

Course content and resources for the AIAIART course.

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

asl-iter-attn

ASL Fingerspelling recognition in the wild

awesome-image-harmonization

A curated list of papers, code and resources pertaining to image harmonization.

awesome-incremental-learning

Awesome Incremental Learning

awesome-source-free-test-time-adaptation

[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

computer-vision-interview

Interview questions to ponder related to computer vision.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

deep-one-shot-logo-retrieval

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dsn

Pytorch implementation of Domain Separation Networks

dynamic-cdfsl

Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

few-shot-scene-adaptive-anomaly-detection

film

FiLM: Visual Reasoning with a General Conditioning Layer

finance

gans-awesome-applications

Curated list of awesome GAN applications and demo

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

ground-terrain-eot

Modeling Extent-of-Texture Information for Ground Terrain Recognition

hypernetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

learn2learn

A PyTorch Library for Meta-learning Research

lorentz-esn

Lorentz Chaotic Series Prediction using Echo State Networks

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

ml-cvnets

CVNets: A library for training computer vision networks

model-compression-and-acceleration-progress

Repository to track the progress in model compression and acceleration

mrcl

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"