ZQFORWARD's Stars
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Morizeyao/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
kohya-ss/sd-scripts
modelscope/ms-swift
Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
ml-jku/hopfield-layers
Hopfield Networks is All You Need
MarkMoHR/Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
tengshaofeng/ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
laiguokun/LSTNet
EvilPsyCHo/Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
milleniums/High-Resolution-Remote-Sensing-Semantic-Segmentation-PyTorch
PyTorch实现高分遥感语义分割（地物分类）
hustcxl/Deep-learning-in-PHM
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
krocki/dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
slaysd/pytorch-sentiment-analysis-classification
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
marekrei/sequence-labeler
Neural network sequence labeling model
DAMO-DI-ML/ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
alexis-jacq/Pytorch-Tutorials
Pytorch tutorials for Neural Style transfert
pdkit/pdkit
An Open Source Data Science toolkit for Parkinson's Disease
captamericadevs/GaitData_ProcessingScripts
dataset and code for processing and classifying gait accelerometer signals