shuvozitghose Goto Github PK
Name: Shuvozit Ghose
Type: User
Bio: Deep Learning Enthusiast
Location: Manitoba, Canada
Blog: shuvozitghose.github.io
Name: Shuvozit Ghose
Type: User
Bio: Deep Learning Enthusiast
Location: Manitoba, Canada
Blog: shuvozitghose.github.io
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
Course content and resources for the AIAIART course.
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
ASL Fingerspelling recognition in the wild
A curated list of papers, code and resources pertaining to image harmonization.
Awesome Incremental Learning
[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Interview questions to ponder related to computer vision.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]
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
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Pytorch implementation of Domain Separation Networks
Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
FiLM: Visual Reasoning with a General Conditioning Layer
Curated list of awesome GAN applications and demo
GLIDE: a diffusion-based text-conditional image synthesis model
Modeling Extent-of-Texture Information for Ground Terrain Recognition
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
A PyTorch Library for Meta-learning Research
Lorentz Chaotic Series Prediction using Echo State Networks
Classical equations and diagrams in machine learning
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
CVNets: A library for training computer vision networks
Repository to track the progress in model compression and acceleration
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.