Stars
Chronos: Pretrained Models for Time Series Forecasting
T-one is a high-performance streaming ASR pipeline for Russian, specialized for the telephony domain.
A community-maintained Python framework for creating mathematical animations.
Pocket Flow: Codebase to Tutorial
TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark
A benchmark to evaluate language models on questions I've previously asked them to solve.
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
List of tools & datasets for anomaly detection on time-series data.
Effective LLM Alignment Toolkit
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Instant voice cloning by MIT and MyShell. Audio foundation model.
GoodbyeDPI — Deep Packet Inspection circumvention utility (for Windows)
Latex code for making neural networks diagrams
Diagrams for visualizing neural network architecture
Lane detection using Semantic Segmentation. To be used in industries by autonomous shuttles in a controlled environment.
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
Python framework for automated time series classification, regression and forecasting
Automated modeling and machine learning framework FEDOT
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
An Integrated Experimental Platform for time series data anomaly detection.
Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Transfer 🤗 Learning for Time Series Forecasting