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annotation_tools

Visipedia Annotation Tools

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

convert-pascal-voc-to-coco

Python script for Pascal VOC to COCO conversion

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

custom-mask-rcnn-using-tensorfow-object-detection-api

Custom Mask RCNN using Tensorflow object detection API

deep-learning

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-learning_best-practices

deep-multi-object-tracking-code

codes of public deep multi-object tracking

deeplearning-models

A collection of various deep learning architectures, models, and tips

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn

An implementation of Faster R-CNN applied to vehicle detection.

imantics

:camera: Python package for managing, creating and visualizing different deep-learning image annotation formats

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo3

Training and Detecting Objects with YOLO3

labelme

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

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learnopencv

Learn OpenCV : C++ and Python Examples

lip-reading-deeplearning

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

mask-rcnn-shiny