Pinned Repositories
awesome-bits
:computer: A curated list of awesome bitwise operations and tricks
Awesome-CS-Books
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
awesome-footy
A bundle of Computer Vision / Deep Learning papers with code implementations applied to football data analysis.
Awesome-Person-Re-Identification
Awesome Person Re-Identification
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bepro_pjt
video texture mapping
bgslibrary
A background subtraction library
deep-learning-all
dlib-mrcnn-tracking
vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
dimahwang88's Repositories
dimahwang88/mrcnn-gcp
dimahwang88/Awesome-CS-Books
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
dimahwang88/open-source-mac-os-apps
🚀 Awesome list of open source applications for macOS.
dimahwang88/human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
dimahwang88/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
dimahwang88/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
dimahwang88/Data-Science-Resources
dimahwang88/bgslibrary
A background subtraction library
dimahwang88/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
dimahwang88/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
dimahwang88/self-driving-car
The Udacity open source self-driving car project
dimahwang88/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 ;)
dimahwang88/bepro_pjt
video texture mapping
dimahwang88/employment
technical presentation, CV, etc.
dimahwang88/pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
dimahwang88/Detect-Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
dimahwang88/repulsion_loss_ssd
Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752
dimahwang88/vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
dimahwang88/cracking-coding-interview
dimahwang88/mcf-tracker
A simple multi-object tracker based on the mcf library
dimahwang88/deep-learning-all
dimahwang88/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
dimahwang88/Ransac-2d-Shape-Detection
line, circle and ellipse detection in 2d images.
dimahwang88/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
dimahwang88/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
dimahwang88/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
dimahwang88/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
dimahwang88/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
dimahwang88/research
dataset and code for 2016 paper "Learning a Driving Simulator"
dimahwang88/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources