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RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
🦜🔗 Build context-aware reasoning applications
Official Implementation of "KBLaM: Knowledge Base augmented Language Model"
macOS menu bar app that shows how full the International Space Station's urine tank is in real time
Using the IMU sensor to measure heart and respiratory rate.
Official repository for "SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE"
Muon optimizer: +>30% sample efficiency with <3% wallclock overhead
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Efficient Triton Kernels for LLM Training
Official inference repo for FLUX.1 models
Stop messing around with finicky sampling parameters and just use DRµGS!
Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
A library for unit scaling in PyTorch
[ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
recursal / GoldFinch-paper
Forked from SmerkyG/GoldFinch-paperGoldFinch and other hybrid transformer components
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
Seamless operability between C++11 and Python
🔥[ICLR'25] LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
🥧 Savoury implementation of the QUIC transport protocol and HTTP/3
A GPU accelerated error-bounded lossy compression for scientific data.