wwb132559

wwb132559's Stars

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k1.1k

• HaoUNSW/PISA

  Language:Python12516

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  45738

• liuxu77/UniTime

  UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)

  Language:Python807

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python48669

• DC-research/TEMPO

  The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

  Language:Python8313

• amazon-science/chronos-forecasting

  Chronos: Pretrained Models for Probabilistic Time Series Forecasting

  Language:Python2.7k303

• ngruver/llmtime

  Language:Jupyter Notebook720160

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python1.6k267

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python828106

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.6k826

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python10.9k1.1k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML11.9k1.2k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k432

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k627

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k468

• citisy/MachineLearning

  ML about cluster, regression, classification, and so on. As a playground. Just for fun.

  Language:Python92

• mubaris/friendly-fortnight

  :wolf: K-Means Clustering using Python from Scratch :mushroom:

  Language:Python128241

• stuntgoat/kmeans

  K Means Clustering with Python

  Language:Python211145

• haoyuhu/cluster-analysis

  K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

  Language:Python34785

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.9k416

• nicodv/kmodes

  Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

  Language:Python1.2k416

• yueliu1999/Awesome-Deep-Graph-Clustering

  Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

  Language:Python859147

• guigrpa/timm

  Immutability helpers with fast reads and acceptable writes

  Language:JavaScript27423

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.6k4.8k

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1.3k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.1k2.1k

• IBM/CrossViT

  Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

  Language:Python35649

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.1k3.1k

• zihangJiang/TokenLabeling

  Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

  Language:Jupyter Notebook42636