divyam3897

HCL

[CVPR'23 Highlight] Heterogeneous Continual Learning.

vlhub

VLHub is a PyTorch framework for training and evaluating vision-language models.

latex-resources

Collection of LaTeX resources and examples.

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

asstprofbook

Github repo backing website for the CS Assistant Professor Handbook

faiss

A library for efficient similarity search and clustering of dense vectors.

awesome-tips

thefuck

Magnificent app which corrects your previous console command.

betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

torchio

Medical imaging toolkit for deep learning

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

UCL

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

awesome-phd-advice

Collection of advice for prospective and current PhD students

mup

maximal update parametrization (µP)

slurm-for-ml

A Machine Learning workflow for Slurm.

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

wiki

ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning

xg2xg

by ex-googlers, for ex-googlers - a lookup table of similar tech & services

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

papers-with-annotations

Research papers with annotations, illustrations and explanations

tikzplotlib

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

MART

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

L2T-ww

Learning What and Where to Transfer (ICML 2019)

l2l-da

Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks

POT

POT : Python Optimal Transport

hypergrad

Exploring differentiation with respect to hyperparameters