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Implement a reasoning LLM in PyTorch from scratch, step by step
A framework for building a AI Forecasting Bot for Metaculus. Additionally AI Forecasting tools to help humans forecast the future.
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
Chronos: Pretrained Models for Time Series Forecasting
(CVPR 2026) Official repository of paper "WeDetect: Fast Open-Vocabulary Object Detection as Retrieval"
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
Teleport Claude Code, Codex or Gemini CLI to your phone and work anywhere
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit to run Ray applications on Kubernetes
A pattern-based approach to learning technical interview questions
A lightweight, powerful framework for multi-agent workflows
A character-level language diffusion model trained on Tiny Shakespeare
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
Train transformer language models with reinforcement learning.
Build data processing and data analysis pipelines that leverage the power of LLMs 🧠
Hierarchical Reasoning Model Official Release
Cellular Automata Accelerated in JAX (Oral at ICLR 2025)
Continuous Thought Machines, because thought takes time and reasoning is a process.
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
combine neural nets and cellular automata