arjunroyihrpa Goto Github PK
Name: Arjun Roy
Type: User
Name: Arjun Roy
Type: User
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.
Python implementation of adwin algorithm
Bias and Fairness Audit Toolkit
A beautiful, simple, clean, and responsive Jekyll theme for academics
Automatic architecture search and hyperparameter optimization for PyTorch
A (concise) curated list of awesome Causal Inference resources.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
A list of backdoor learning resources
This is a pip installable version of the github repo https://github.com/rcrupiISP/BiasOnDemand
[NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, and Sijia Liu
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Reproduce CKA: Similarity of Neural Network Representations Revisited
An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
Codebase for the ECML PKDD 2022 Research Paper: Detecting Anomalies with Autoencoders on Data Streams
Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"
Deepfake Scanner by Deepware.
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
Mode Connectivity and Fast Geometric Ensembles in PyTorch
23 hand-annotated attributes of Duke dataset
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
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.