The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

A modern Python interface for interacting with OpenFOAM

A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.

Generative Flow Networks - GFlowNet

Python Backtesting library for trading strategies

A Library for Advanced Deep Time Series Models.

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Implementation of Slot Attention from GoogleAI

SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

Practice to LLM.

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

Scalable and user friendly neural 🧠 forecasting algorithms.

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

AI 算命，占卜，塔罗牌，姓名五格，周公解梦，生辰八字，梅花易数

Official inference framework for 1-bit LLMs

1.58 Bit LLM on Apple Silicon using MLX

给中文KAN学习者和开发者准备的各种KAN的详细的中文注释+使用例子

Kuhn poker implemented in accordance to OpenAI gym interface

Learning nonlinear operators via DeepONet

Scalable Implementation of Deep CFR and Single Deep CFR

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

每天自动更新IPTV直播源，支持IPV4/IPV6双栈访问！自定义频道，高质量直播源，❌不含有广告。Automatically update IPTV live streaming sources every day, supporting IPV4/IPV6 dual stack access! Custom channels, high-quality live streaming so…

SteamOS session compositing window manager

LLM inference in C/C++

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

[ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data"