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Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
The /llms.txt file, helping language models use your website
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
`dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
This repository contains everything you need to become tech interview Ready with most important tips and techniques
A topic-centric list of HQ open datasets.
PDF++: the most Obsidian-native PDF annotation & viewing tool ever. Comes with optional Vim keybindings.
Make typesetting LaTeX as fast as handwriting through snippets, text expansion, and editor enhancements
Render LaTeX and TikZ diagrams in your notes
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
A repository of links with advice related to grad school applications, research, phd etc
A package for conformal prediction with conditional guarantees.
Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
A generative AI extension for JupyterLab
Implementation of PAC Confidence Sets for Deep Neural Network (ICLR20)
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
A fast, effective data attribution method for neural networks in PyTorch
Test-Time Adaptation via Conjugate Pseudo-Labels
💱 A curated list of data valuation (DV) to design your next data marketplace
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale