audreyeternal's Stars
trypear/pearai-app
The Open Source AI-Powered Code Editor. A fork of VSCode and Continue.
microsoft/torchscale
Foundation Architecture for (M)LLMs
horseee/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
meltylabs/melty
Chat first code editor. To download the packaged app:
levitsky/pyteomics
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common tasks in proteomics data analysis.
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
hkproj/pytorch-paligemma
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw
AviSoori1x/seemore
From scratch implementation of a vision language model in pure PyTorch
synbol/Awesome-Parameter-Efficient-Transfer-Learning
Collection of awesome parameter-efficient fine-tuning resources.
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
lucidrains/transfusion-pytorch
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
jingyi0000/VLM_survey
Collection of AWESOME vision-language models for vision tasks
jkobject/geneformer
nerfies/nerfies.github.io
dlmbl/DL-MBL-2024
audreyeternal/Awesome-Biomedical-Foundation-Models
A collection of the state-of-the-art biomedical foundation models
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
Schuture/Quality-Sentinel
This is the repository of Quality Sentinel, a label quality evaluation model for medical image segmentation.
yeung-lab/Micro-Bench
A Vision-Language Benchmark for Microscopy Understanding
aeon-toolkit/aeon
A toolkit for machine learning from time series
moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models
kedartatwawadi/stanford_compression_library
The goal of the library is to help with research in the area of data compression. This is not meant to be fast or efficient implementation, but rather for educational purpose
facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
prov-gigapath/prov-gigapath
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
gpu-mode/lectures
Material for gpu-mode lectures
ytongbai/LVM
roboflow/maestro
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
karpathy/LLM101n
LLM101n: Let's build a Storyteller
hakimel/reveal.js
The HTML Presentation Framework
micro-manager/pycro-manager
Python control of micro-manager for customized data acquisition