Popular GitHub Repositories for Svd

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

A Python scikit for building and analyzing recommender systems

Four word embedding models implemented in Python. Supporting arbitrary context features

H2Oai GPU Edition

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Official Code for "SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression"

[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

My Workflows + Auxiliary nodes for Stable Video Diffusion (SVD)

A repository for recording the machine learning code

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing Letters.

SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models

NTUEE Machine Learning, 2017 Spring

A repository for recording the codes of machine learning algorithms

【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

[ICLR'25] Code for KaSA, an official implementation of "KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models"

Natural Language Processing for Lithuanian language

Tf-Rec is a python? package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.