zhn6818

zhn6818's Stars

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python158k6.1k65052.5k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.9k2781.6k8.1k

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python62.2k4841.4k13.4k

• 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.

  Language:Jupyter Notebook47.8k3086745.7k

• zbezj/HEU_KMS_Activator

  30.2k3921573.1k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.4k2184652.9k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.2k1143901.4k

• kjw0612/awesome-deep-vision

  A curated list of deep learning resources for computer vision

  10.8k1.1k282.8k

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.8k42305693

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.4k67247913

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.6k2497342

• microsoft/GLIP

  Grounded Language-Image Pre-training

  Language:Python2.2k46171193

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k6216227

• Ewenwan/Mathematics

  数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

  Language:MATLAB703282260

• jonbarron/robust_loss_pytorch

  A pytorch port of google-research/google-research/robust_loss/

  Language:Python666133288

• JunshengFu/vehicle-detection

  Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

  Language:Python6492723245

• OpenGVLab/VideoMAEv2

  [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

  Language:Python52566063

• megvii-research/FSCE

  Language:Python281117347

• imsoo/fight_detection

  Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition

  Language:C++20281844

• iqiukp/SVDD-Python

  Python code for abnormal detection using Support Vector Data Description (SVDD)

  Language:Python18721057

• nebula-beta/PatchMatch

  PathMatch is the state-of-the-art stereo match algorithm framework.

  Language:C++1131216

• Jingtao-Li-CVer/TDD

  This is an official implementation for "One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning“

  Language:Python75193

• Charmve/Awesome-Lane-Detection

  A paper list with code of lane detection.

  Language:Python602022

• NivC/SINBAD

  A method for detecting anomalies consisting of unusual combinations of normal elements using set features

  Language:Python34264

• LonglongaaaGo/GRIG_few_shot_inpainting

  We present a novel few-shot generative residual image inpainting method that produces high-quality inpainting results.

  Language:Python28402

• vlfom/CSD-detectron2

  An unofficial implementation of Consistency-Based Semi-Supervised Learning for Object Detection method in Detectron2

  Language:Python19212

• sorg20/RPN

  This is Region Proposal Network training example using VGG16 backbone with Pytorch

  Language:Jupyter Notebook12313

• kennedyCzar/ADVANCE-MACHINE-LEARNING-KERNEL-METHOD

  Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

  Language:Python10103

• karanpandya12/Region_Proposal_Network

  Implementation of RPN using PyTorch

  Language:Python5

• zhn6818/DeepInfomaxPytorch

  Learning deep representations by mutual information estimation and maximization

  Language:Python10