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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Automate anything with Codex CLI in a local Docker container with cron, file watchers, webhooks, search/indexing, speech, and hundreds of tools on tap.
SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open sour…
Beads - A memory upgrade for your coding agent
This is a repo with links to everything you'd ever want to learn about data engineering
Easily compute clip embeddings and build a clip retrieval system with them
An open source implementation of CLIP.
Reference PyTorch implementation and models for DINOv3
PyTorch code and models for the DINOv2 self-supervised learning method.
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
[NeurIPS 2025] YOLOv12: Attention-Centric Real-Time Object Detectors
We write your reusable computer vision tools. 💜
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
A high-throughput and memory-efficient inference and serving engine for LLMs
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Easy benchmarking of all publicly accessible implementations of convnets
Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
High-performance retrieval engine for unstructured data
AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.