arjunroyihrpa Goto Github PK

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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.

awesome-multi-task-learning

2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

azuremlnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

basic-tutorials

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

bluebert

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

cka-centered-kernel-alignment

Reproduce CKA: Similarity of Neural Network Representations Revisited

cka-similarity

An Numpy and PyTorch Implementation of CKA-similarity with CUDA support

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

clef18

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

daads

Codebase for the ECML PKDD 2022 Research Paper: Detecting Anomalies with Autoencoders on Data Streams

deep_share

Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"

deepfake-scanner

Deepfake Scanner by Deepware.

dl4traffic

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

dnn-mode-connectivity

Mode Connectivity and Fast Geometric Ensembles in PyTorch

dravidiancodemix-dataset

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fair-classification

Python code for training fair logistic regression classifiers.

fair-clustering-fairlets

Implementation of the paper "Fair Clustering Through Fairlets" by Chierichetti et al. (NIPS 2017)

fairbench