SpeechGPT Series: Speech Large Language Models

LLM101n: Let's build a Storyteller

HuggingLLM, Hugging Future.

Paper List of Pre-trained Foundation Recommender Models

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Beyond Language Models: Byte Models are Digital World Simulators

Time Series Tokenizer inspired by Symbolic Aggregate approXimation (SAX) for seamlessly training LLMs with time-series data.

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程

Collection of notebooks for time series analysis

Inference code for Llama models

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

Examples and guides for using the OpenAI API

Making large AI models cheaper, faster and more accessible

Intro to Reinforcement Learning (强化学习纲要）

Probabilistic time series modeling in Python

Probabilistic Multivariate Time Series Forecast using Deep Learning

List of papers, code and experiments using deep learning for time series forecasting

A python library for user-friendly forecasting and anomaly detection on time series.

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…

Scalable and user friendly neural 🧠 forecasting algorithms.

Time series forecasting with PyTorch

My second place solution in the M5 Accuracy competition