An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Official codebase for "SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution"

Awesome RL-based LLM Reasoning

Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym

A beautiful, simple, clean, and responsive Jekyll theme for academics

Deep Reinforcement Learning

This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

exploring whether LLMs perform case-based or rule-based reasoning

Tools for understanding how transformer predictions are built layer-by-layer

Awesome lists about framework figures in papers

机场推荐与机场评测

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"

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

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

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

Kolmogorov Arnold Networks

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

[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (l…

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 …