Open source agentic AI CAD generation built on OpenSCAD

3D Visualization of an GPT-style LLM

Train transformer language models with reinforcement learning.

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…

The THOR Project (Tensors for High-dimensional Object Representations)

Fast State-of-the-Art Static Embeddings

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark

A curated list of key papers on the industrial applications of multimodal large models, covering surveys, fine-tuning approaches, RAG-based systems, and more.

Can Multimodal LLMs Perform Time Series Anomaly Detection? https://arxiv.org/abs/2502.17812

Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

LogLLM: Log-based Anomaly Detection Using Large Language Models (system log anomaly detection)

Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"

[VLDB' 25] ChatTS: Understanding, Chat, Reasoning about Time Series with TS-MLLM

A highly scalable real-time log anomaly detection architecture with LLMs, information retrieval, and user feedback to pinpoint faults across a distributed system.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Open-source platform to build and deploy AI agent workflows.

Annotations of the interesting ML papers I read

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

⚡ TabPFN: Foundation Model for Tabular Data ⚡

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

The official code 👩‍💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

Holistic evaluation of multimodal foundation models