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android-deep-learning-examples

Android deep learning samples with different technologies

android-opencv

An Android Studio project which has a module that contains OpenCV SDK files ported and configured to use CMake and Android Gradle plugin 2.3.1 or above, making it easy to include OpenCV into Android applications.

android-opencv-native-samples

OpenCV repository samples with cmake and lldb integration for latest android studio versions.

automl

Google Brain AutoML

autoportraitmatting

Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

caffe

Caffe on both Linux and Windows

caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

dataset-augmentation

deepdrive

Run a self-driving car simulator from the comfort of your own PC

deepdrive-caffe

deepdrive-obs

deepdrive-universe

Run self-driving car agents in GTAV Universe

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car development environment. It supports two main operation modes, Dataset generation or Reinforcement Learning environment and it is super easy to install!

digits

Deep Learning GPU Training System

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

driving-in-the-matrix

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

dummylib

This is a dummy library for testing whether dependencies link correctly or not

examples

TensorFlow examples

facex-zoo

A PyTorch Toolbox for Face Recognition

fortesting

gazecapture

Eye Tracking for Everyone

gtavmanualtransmission

Manual transmission for GTA V

insightface

State-of-the-art 2D and 3D Face Analysis Project

lbcnn.pytorch

PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html

lir

LIR Python Likelihood Ratio Library

metric-guided-prototypes-pytorch

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.

miopen

AMD's Machine Intelligence Library

nginx-rtmp-win32

Nginx-rtmp-module Windows builds.