qiao-maoying Goto Github PK

2018-machinelearning-lectures-esa

Machine Learning Lectures at the European Space Agency (ESA) in 2018

ada2018stu

ai-rag-workshop

A Flask server app designed for Azure Developer CLI

audio2photoreal

Code and dataset for photorealistic Codec Avatars driven from audio

bayesiannn

bayesiannn-ss

bdl-benchmarks

Bayesian Deep Learning Benchmarks

benchmark_results

Visual Tracking Paper List

caffe

Caffe

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

detr

End-to-End Object Detection with Transformers

effectivepython

Effective Python: Second Edition — Source Code and Errata for the Book

fish-abundance

Fish detection in unconstrained environment

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

gazecapture

Eye Tracking for Everyone

google-research

Google Research

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lddp

Learning Detection with Diverse Proposals at CVPR 2017

learnopencv

Learn OpenCV : C++ and Python Examples

mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

mmdetection

OpenMMLab Detection Toolbox and Benchmark

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

pod_compare

Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"

pointernet

Pytorch implementation of Pointer Network

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media