from vibe coding to agentic engineering - practice makes claude perfect

I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)

Creating Theoretician Friendly Educational Material For PyTorch

Tips for Writing a Research Paper using LaTeX

[CVPR'23 Highlight] Heterogeneous Continual Learning.

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

Github 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

maximal update parametrization (µP)

A Machine Learning workflow for Slurm.

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.