Lists (1)
Sort Name ascending (A-Z)
Starred repositories
这是一份入门AI/LLM大模型的逐步指南,包含教程和演示代码,带你从API走进本地大模型部署和微调,代码文件会提供Kaggle或Colab在线版本,即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡,你可以尝试在里面实验一些有意思的AI脚本。同时,包含李宏毅 (HUNG-YI LEE)2024生成式人工智能导论课程的完整中文镜像作业。
🎓 Advice and resources for thriving and surviving graduate school
The machine learning toolkit for time series analysis in Python
A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
bigdata-ustc / EduData
Forked from tswsxk/EduDataEdudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Implement of TransE, TransH, KG2E with pytorch
List of papers, code and experiments using deep learning for time series forecasting
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Pytorch🍊🍉 is delicious, just eat it! 😋😋
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Papers for normalization techniques, released codes collections.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Implementation of Convolutional LSTM in PyTorch.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A Python version of RankNet, LambdaRank and LambdaMart
pytorch implementation of Domain-Adversarial Training of Neural Networks