Pinned Repositories
-l2tfmt-
AAAI22_TransMEF
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
AdaFair
adwin
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.
adwin-1
Python implementation of adwin algorithm
aequitas
Bias and Fairness Audit Toolkit
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
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.
arjunroyihrpa's Repositories
arjunroyihrpa/FairBranch
arjunroyihrpa/mammoth-commons
arjunroyihrpa/Harnessing-Superclasses-for-Learning-from-Hierarchical-Databases
arjunroyihrpa/mtp
arjunroyihrpa/backdoor-learning-resources
A list of backdoor learning resources
arjunroyihrpa/llama-recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
arjunroyihrpa/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
arjunroyihrpa/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
arjunroyihrpa/My-Tutorials
arjunroyihrpa/AzureMLNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
arjunroyihrpa/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
arjunroyihrpa/Multi-Fairness-under-Class-Imbalance
arjunroyihrpa/LibMTL
A PyTorch Library for Multi-Task Learning
arjunroyihrpa/MFPB
arjunroyihrpa/neural-amp-modeler
Neural network emulator for guitar amplifiers.
arjunroyihrpa/SequentialFairness
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
arjunroyihrpa/FairMultitask
Implementation for our paper "Fairness in Multi-Task Learning via Wasserstein Barycenters"
arjunroyihrpa/FairBench
arjunroyihrpa/biasondemand
This is a pip installable version of the github repo https://github.com/rcrupiISP/BiasOnDemand
arjunroyihrpa/fairtorch
PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
arjunroyihrpa/BiP
[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
arjunroyihrpa/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
arjunroyihrpa/pytorch-Deep-Learning
Deep Learning (with PyTorch)
arjunroyihrpa/PlotNeuralNet
Latex code for making neural networks diagrams
arjunroyihrpa/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
arjunroyihrpa/DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
arjunroyihrpa/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
arjunroyihrpa/ModelPoisoning
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
arjunroyihrpa/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
arjunroyihrpa/awesome-multi-task-learning
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.