Stars
Code for the ProteinMPNN paper
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 th…
Google Research
Bioinformatics code for paper associated with deep diversification of AAV
The analysis repository for the Open Pediatric Cancer Project
High accuracy RAG for answering questions from scientific documents with citations
🔥 🔥 🔥Open Source & AI driven Data Onboarding Platform:Free flatfile.com alternative
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Foldseek enables fast and sensitive comparisons of large structure sets.
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
For Lighspeed Gen AI Hackathon. A guardian for the patient.
A framework for few-shot evaluation of language models.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
In this repo, I've trained an object detection model to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared images.
Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .
Mega list of 1 on 1 meeting questions compiled from a variety to sources