Stars
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
A cross-platform desktop All-in-One assistant tool for Claude Code, Codex, OpenCode, openclaw & Gemini CLI.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.5, DeepSeek-R1, GLM-5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, Phi4, ...)…
a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather,…
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Graph Neural Network Library for PyTorch
A minimalist environment for decision-making in autonomous driving
A Python wrapper around Metis, a graph partitioning package
Movement trajectory classes and functions built on top of GeoPandas
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Fully open reproduction of DeepSeek-R1
A website displaying hundreds of charts made with Python
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Reproducible-Bayesian-Tensor-Machine-Learning-SOTA
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data
Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Solve Visual Understanding with Reinforced VLMs
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Code Repository for The Kaggle Book, Published by Packt Publishing
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
A library for scientific machine learning and physics-informed learning
Notably, GenAD & Dataset Survey. A Collection of Foundation Driving Models by OpenDriveLab. For Vista and DriveLM, please refer to individual page.
Machine learning for transportation data imputation and prediction.
PySensors is a Python package for sparse sensor placement
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
[ICCV 2025] This is the official repo for the paper "EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting"