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wantajob's Projects

abrash-black-book

Markdown source for Michael Abrash's Graphics Programming Black Book

aidlearning-framework

AidLearning build a Linux system running on the Android with GUI, AI and Python support . Caffe, Tensorflow, mxnet, Keras,Pytorch are perfectly supported. Linux+Android+AI 3in1

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

awesome-deep-vision

A curated list of deep learning resources for computer vision

benchmark_results

visual tracker benchmark results

biological_learning

Example of "biological" learning for MNIST

caffe

Caffe on both Linux and Windows

caffe2

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

cam

Class Activation Mapping

chainer

A flexible framework of neural networks for deep learning

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cmake-tutorial

CMake tutorial: beamer presentation and sample code

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep-learning-illustrated

Deep Learning Illustrated (2019)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

densecap

Dense image captioning in Torch

dppnet

DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

dso

Direct Sparse Odometry

eco

Matlab implementation of the ECO tracker.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faceeditor

Unsupervised learning to find facial features.

fastannotationtool

A tool using OpenCV to annotate images for image classification, optical character reading, ...

faster_rcnn

Faster R-CNN

fastphotostyle

Style transfer, deep learning, feature transform

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gans-awesome-applications

Curated list of awesome GAN applications and demo

git-tips

:trollface:Git的奇技淫巧

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

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