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Karol Majek's Projects

flask-person-detector icon flask-person-detector

Flask based web application that provides a REST endpoint using OpenCV's Deep Neural Network method for Object Detection

flaskex icon flaskex

Simple flask example for quick prototypes and small applications

gsdn icon gsdn

Generative Sparse Detection Networks for 3D Single-shot Object Detection

gtsrb_keras_stn icon gtsrb_keras_stn

German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks

gym-gazebo icon gym-gazebo

A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.

heroku_ebooks icon heroku_ebooks

A Heroku worker script to post to an _ebooks version of your Twitter account

imcmc icon imcmc

Image Markov Chain Monte Carlo

inplace_abn icon inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

insightface-v2 icon insightface-v2

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-tensorflow-pytorch-build icon jetson-tensorflow-pytorch-build

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.

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