Stars
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
A web framework for building highly usable healthcare applications.
Contains examples of how Open Health Stack components can be used together as the foundation for FHIR based digital health solutions
A generic proxy server for applying access-control policies for a FHIR-store.
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
Synthetic Data curation for post-training and structured data extraction
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Code for studying the super weight in LLM
Official implementation of paper: SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
MR.Q is a general-purpose model-free reinforcement learning algorithm.
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!
Fully open reproduction of DeepSeek-R1
Images to inference with no labeling (use foundation models to train supervised models).
The swiss army knife of healthcare integration.
Sky-T1: Train your own O1 preview model within $450
Training Large Language Model to Reason in a Continuous Latent Space
Medical o1, Towards medical complex reasoning with LLMs
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
The official implementation of Self-Play Fine-Tuning (SPIN)
Mulberry, an o1-like Reasoning and Reflection MLLM Implemented via Collective MCTS
Code examples for Robotics, Vision & Control 3rd edition in Python
Large-Scale Multimodal Dataset of Astronomical Data