The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is developed by the Lab of Professor Weiwei Lin ([email protected]),…

A Library for Advanced Deep Time Series Models.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

LLM training in simple, raw C/CUDA

🦜🔗 Build context-aware reasoning applications

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Python sync/async framework for Interactive Brokers API

Fast and flexible Docker image building tool, works in unprivileged containerized environments like Mesos and Kubernetes.

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.