camel2012

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

pymc

Bayesian Modeling and Probabilistic Programming in Python

Person_reID_baseline_pytorch

:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

keras-attention-mechanism

Attention mechanism Implementation for Keras.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

pymc-resources

PyMC educational resources

attention

some attention implements

DeepStream-Yolo

NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

pure_attention

使用 attention 实现 nlp 和 cv 相关模型。

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Vehicle_reID-Collection

:red_car: the collection of vehicle re-ID papers, datasets. :red_car:

awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

person-reid-3d

TNNLS'22 :statue_of_liberty: Parameter-Efficient Person Re-identification in the 3D Space :statue_of_liberty:

Yolov5-Deepsort-Fastreid

yolov5-deepsort-pedestrian-counting

yolov5 + deepsort实现了行人计数功能， 统计摄像头内出现过的总人数，以及对穿越自定义黄线行人计数效果如下

Awesome-vehicle-re-identification

Awesome Vehicle Re-identification

BayesianNetwork

Bayesian Network Modeling and Analysis

open-reid-tracking

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

Real-Time-Multiple-Person-Recognition-and-Tracking-for-CCTV-Camera

a surveillance system for CCTV cameras which recognizes selected multiple target individuals and tracks in real time across multiple cameras, with detection, recognition, and kernel-based tracking modules. Facial recognition is done using HOG features and image embedding using OpenFace. We were able to perform simultaneous tracking and recognition of multiple individuals across multiple cameras in real time. Winning project, Smart India Hackathon 2019.

DeepCC-local

DeepCC tracker with local-aware settings

non-overlapping_multiple-camera_tracking

Multi-Target Multi-Camera Human Tracking (Non-overlapping camera system)

Cross-Camera-Pedestrian-Tracking

Use multiple cameras to track a target pedestrian