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acol

Adversarial Complementary Learning for Weakly Supervised Object Localization

agent8ball

An HTML5 Pool Game...with bombs!

albumentations

fast image augmentation library and easy to use wrapper around other libraries

areche

boxer

The DOS game emulator that's fit for your Mac.

caffe

Caffe: a fast open framework for deep learning.

caffe-spn

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

datasets

A collection of datasets ready to use with TensorFlow

digits

Deep Learning GPU Training System

docker-ffmpeg-nvidia

docker-ffmpeg-nvidia

dxflib

For GPL Use of RibbonSoft.com's dxflib - http://www.ribbonsoft.com/en/what-is-dxflib

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

flyover-reverse-engineering

Reversing Apple's 3D satellite mode

folder_watcher

gammaray

GammaRay is a tool to poke around in a Qt-application and also to manipulate the application to some extent.

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

google-research

Google AI Research

hap-directshow

Automatically exported from code.google.com/p/hap-directshow

hdf5-to-tfrecord

:floppy_disk: Convert .hdf5 files to TFRecords

hello-cpp

Example Python package with a C++-based C-extension

homura

PyTorch utilities including trainer, reporter, etc.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imgclsmob

Sandbox for training convolutional networks for computer vision

kdstatemachineeditor

A framework for creating Qt State Machine metacode using a graphical user interface

libfreenect2

Open source drivers for the Kinect for Windows v2 device

lpy

An open source python version of the Lindenmayer Systems.

luaforwindows

Automatically exported from code.google.com/p/luaforwindows

mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"