Stars
Graph Neural Network Library for PyTorch
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [oral])
A Library for Advanced Deep Time Series Models.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
一种轻量化故障诊断框架——LiConvFormer
Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
TODS: An Automated Time-series Outlier Detection System
Code contributed by team at USAFA with AFIT collaborators: Matthew LaRosa, Devin Wasilefsky, William Caballero, Nathan Gaw
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Improved Training of Wasserstein GANs for Neural Machine Translation
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch implementations of Generative Adversarial Networks.
Multivariate Time Series Imputation with Generative Adversarial Networks
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation
Image-to-Image Translation in PyTorch
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.