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The repository contains data for LLM training and evaluation, LLM models, pre-training, fine-tuning, inference, deployment, applications, and a number of popular repositories about LLM, which can b…
OpenSources2Learn / BYO-LLM-FZ2O
Forked from QinHsiu/BYO-LLM-FZ2OThe repository contains data for LLM training and evaluation, LLM models, pre-training, fine-tuning, inference, deployment, applications, and a number of popular repositories about LLM, which can b…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Must-read papers on graph neural networks (GNN)
An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
A unified, comprehensive and efficient recommendation library
MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
PyTorch android examples of usage in applications
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.
Machine learning for transportation data imputation and prediction.
程序员应该访问的最佳网站中文版
⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
Tensor decomposition for machine learning (w/ Python implementation)
Recommendation System using ML and DL
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
some basic deep learning models/method for nlp, text classification.
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.
使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model
document classification using LSTM + self attention
Source code for "On the Relationship between Self-Attention and Convolutional Layers"