ES-Hector

ES-Hector's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook27.1k3274073.4k

• feder-cr/Jobs_Applier_AI_Agent

  Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.

  Language:Python26.7k1726623.9k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.7k1624571.8k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.7k2758763.1k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook13.8k804451.4k

• Tencent/HunyuanVideo

  HunyuanVideo: A Systematic Framework For Large Video Generation Model

  Language:Python7.8k96175612

• yangchris11/samurai

  Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

  Language:Python6.4k5682397

• OpenSPG/KAG

  KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

  Language:Python4.7k44148293

• openvinotoolkit/open_model_zoo

  Pre-trained Deep Learning models and demos (high quality and extremely fast)

  Language:Python4.1k1254611.4k

• amazon-science/mm-cot

  Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

  Language:Python3.9k5654318

• PKU-YuanGroup/Video-LLaVA

  【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

  Language:Python3.1k29203222

• michuanhaohao/reid-strong-baseline

  Bag of Tricks and A Strong Baseline for Deep Person Re-identification

  Language:Python2.3k52218575

• wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List

  [Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

  715285103

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook490819156

• Mark12Ding/SAM2Long

  SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

  Language:Jupyter Notebook4474915

• Yukun-Huang/Person-Attribute-Recognition-MarketDuke

  A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

  Language:Python381114889

• WildChlamydia/MiVOLO

  MiVOLO age & gender transformer neural network

  Language:Python35974062

• Raschka-research-group/coral-cnn

  Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

  Language:Python346133964

• sutdcv/UAV-Human

  [CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

  Language:Python21672213

• valencebond/Rethinking_of_PAR

  Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.

  Language:Python18833337

• google-deepmind/magiclens

  [ICML'24 Oral] "MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions"

  Language:Python156131011

• Event-AHU/OpenPAR

  [OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

  Language:Python10454212

• Zplusdragon/PLIP

  The official code of "PLIP: Language-Image Pre-training for Person Representation Learning"

  Language:Python1042199

• tae898/age-gender

  Age and gender recognition using arcface and MLP.

  Language:Jupyter Notebook7442227

• Seung-Hun-Lee/CAVIS

  CAVIS: Context-Aware Video Instance Segmentation

  Language:Python721221

• AaronCIH/APGCC

  ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

  Language:Python5641912

• DashyDashOrg/pandas-llm

  Pandas-LLM

  Language:Python352513

• cxh0519/VTB

  Official implementation of "A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition" [TCSVT 2022]

  Language:Python29150

• dsabarinathan/attribute-recognition

  This repository contains a PyTorch implementation of a person attribute recognition model. The model has been trained to recognize various attributes such as age, gender, hair length, upper body features, lower body features, and accessories.

  Language:Python10210

• jalotra/Queue-Detection

  A naive Algorithm that uses People Detection and Convex Hull as subroutines to solve this problem: "Given an image of people standing randomly, how many people can be a part of some queue {Q}. A queue {Q} is basically a line(y = mx + c) that minimises a custom loss function. "

  Language:Python5210