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Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Medical Hallucination in Foundation Models and Their Impact on Healthcare (2025)
A one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE and is an easily extensible framework for new datasets, evaluations, methods, and other benchmarks.
A small and lightweight Python package for working with and generating data from www.PrefLib.org.
High-velocity, monorepo-scale workflow for Git
Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation
Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en
Smart glasses OS, with dozens of built-in apps. Users get AI assistant, notifications, translation, screen mirror, captions, and more. Devs get to write 1 app that runs on any pair of smart glases.
Python library for easily making web Apps to compare humans and AI
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user develop their prompts into full models.
This repo contains the results data for Round 1 of Adaptyv Bio’s EGFR Protein Design Competition.
Massively parallel rigidbody physics simulation on accelerator hardware.
An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
Goal-conditioned reinforcement learning like 🔥
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
nannyml: post-deployment data science in python
Incorporation of conformational space profile into molecular representation learning, and its application to drug discovery, including virtual screening, target identification, and QSAR.
The Open Cookbook for Top-Tier Code Large Language Model
Uncertainty quantification with PyTorch
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
Multi-object image datasets with ground-truth segmentation masks and generative factors.