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Creating Theoretician Friendly Educational Material For PyTorch
Tips for Writing a Research Paper using LaTeX
VLHub is a PyTorch framework for training and evaluating vision-language models.
Collection of LaTeX resources and examples.
A concise but complete implementation of CLIP with various experimental improvements from recent papers
vijay03 / asstprofbook
Forked from daattali/beautiful-jekyllGithub repo backing website for the CS Assistant Professor Handbook
A library for efficient similarity search and clustering of dense vectors.
Magnificent app which corrects your previous console command.
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Medical imaging processing for AI applications.
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
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
Collection of advice for prospective and current PhD students
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Reading list for research topics in multimodal machine learning
A collection of LaTeX templates used for research, courses, and miscellanea.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
by ex-googlers, for ex-googlers - a lookup table of similar tech & services
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Research papers with annotations, illustrations and explanations
📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"