mubashirhanif Goto Github PK

geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handwritten-digit-recognition-using-random-forest

Handwritten Digit Recognition Using Random Forest

heros

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

hybrid-load-balancer

iclr2017mcnet

Tensorflow implementation of the ICLR 2017 paper: Decomposing Motion and Content for Natural Video Sequence Prediction

iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

janus-win

A windows VIM distro

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

kashmir-basar

kinectfusionapp

Sample implementation of an application using KinectFusionLib

kinectfusionlib

Implementation of the KinectFusion approach in modern C++14 and CUDA

label-tool

Web application for image labeling and segmentation

labelme

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

laser_filters

Assorted filters designed to operate on 2D planar laser scanners, which use the sensor_msgs/LaserScan type.

learnopencv

Learn OpenCV : C++ and Python Examples

libsgm

Stereo Semi Global Matching by cuda

loco

machine-learning-regression

MLhw2

manim

Animation engine for explanatory math videos

mern-boilerplate

Boilerplate for MERN stack development with docker, ready for production.

mlhw1

Ml sources

mocogan

MoCoGAN: Decomposing Motion and Content for Video Generation

mqttnet

MQTTnet is a high performance .NET library for MQTT based communication. It provides a MQTT client and a MQTT server (broker). The implementation is based on the documentation from http://mqtt.org/.

mubashirhanif.github.io

A beautiful Jekyll theme for academics

multiclass-svm-classifier

nccv

Short course on computer vision and image processing using Numba+CUDA+OpenCV

ng-girls.github.io

ngGirls website

ng2-drag-drop

Drag & Drop for Angular 2 and beyond - based on HTML5 with no external dependencies. :tada: