🦜🔗 Build context-aware reasoning applications

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Kolmogorov Arnold Networks

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

EPFL Course - Optimization for Machine Learning - CS-439

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

Deep Learning and Logical Reasoning from Data and Knowledge

Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

Optimization: Algorithms, Complexity & Approximations

A revamped repository, allowing for direct communication with Google Collab.