This is the official repository for "LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models"

🧠 Web Neural Network API

PyTorch native quantization and sparsity for training and inference

DSPy: The framework for programming—not prompting—language models

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

A framework for prompt tuning using Intent-based Prompt Calibration

QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions …

Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Integrate cutting-edge LLM technology quickly and easily into your apps

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation

Personalizing Performance model repository

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Charter and administrivia for the WebExtensions Community Group (WECG)

Benchmark datasets, data loaders, and evaluators for graph machine learning

A TypeScript-like language for WebAssembly.

APIs for scheduling and controlling prioritized tasks.

Google Research

Resource Hints

The fastai book, published as Jupyter Notebooks

A pure javascript JPEG encoder and decoder for node.js

a distributed Hyperband implementation on Steroids

Stores documents used by the TensorFlow developer community

Reference implementations of MLPerf™ inference benchmarks

MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)