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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Fully open reproduction of DeepSeek-R1
Graph Neural Network Library for PyTorch
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
The official GitHub page for the survey paper "A Survey of Large Language Models".
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
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
Solve Visual Understanding with Reinforced VLMs
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Witness the aha moment of VLM with less than $3.
A library for scientific machine learning and physics-informed learning
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
A minimalist environment for decision-making in autonomous driving
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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?"
Code Repository for The Kaggle Book, Published by Packt Publishing
A website displaying hundreds of charts made with Python
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
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…
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Movement trajectory classes and functions built on top of GeoPandas