karolmajek Goto Github PK
Name: Karol Majek
Type: User
Company: @Cufix
Bio: DeepDrive.pl
Twitter: karol_majek
Location: Warsaw, Poland
Blog: DeepDrive.pl
Name: Karol Majek
Type: User
Company: @Cufix
Bio: DeepDrive.pl
Twitter: karol_majek
Location: Warsaw, Poland
Blog: DeepDrive.pl
Street View, Then & Now: New York City's Fifth Avenue
Flask based web application that provides a REST endpoint using OpenCV's Deep Neural Network method for Object Detection
Simple flask example for quick prototypes and small applications
Example robots and code for interfacing Gazebo with ROS
Google Cloud Platform - VIsion API
GlusterFS plugin for Hadoop HCFS
Robotic data processing with CUDA
Generative Sparse Detection Networks for 3D Single-shot Object Detection
The gstreamer based streaming framework
German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks
GUS REGON Internet Database Client
A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.
Mirror of Apache Hadoop
Map Reduce example for Hadoop in Python based on Udacity: Intro to Hadoop and MapReduce
On device image processing using the Google Coral USB accelerator stick
A Heroku worker script to post to an _ebooks version of your Twitter account
Image Markov Chain Monte Carlo
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Provides an environment for compiling TensorFlow or PyTorch with CUDA for aarch64 on an x86 machine. This is for Jetson. If you build using an EC2 m6g.16xlarge (aarch64) instance, TensorFlow can be fully built in about 30 minutes.
Reference implementations of popular deep learning models.
Collection of Keras models used for classification
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
VGGFace implementation with Keras Framework
Kernel Point Convolution implemented in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.