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a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

algorithms_and_data_structures

180+ Algorithm & Data Structure Problems using C++

alsa

Conversion of old Mediawiki site to Markdown format and managed via Github

apollo

An open autonomous driving platform

autosar-xcp

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-lane-detection

lane detection

awesome-linux-software

🐧 A list of awesome applications, software, tools and other materials for Linux distros.

awesome-machine-learning-on-source-code

Interesting links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

blfdemo

a Vector example to show how to use binlog.dll to handle blf file

boardserver

build-your-own-x

🤓 Build your own (insert technology here)

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

caffe

Caffe: a fast open framework for deep learning.

calibrationtest

car-finding-lane-lines

Finding Lane Lines using Python and OpenCV

clustering

Library for performing spectral clustering in C++

cpp-netlib

The C++ Network Library Project -- cross-platform, standards compliant networking library.

cppcon2017

Slides and other materials from CppCon 2017

ctags

A maintained ctags implementation

cvpr2019

cvpr2019 papers

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science-study-paths-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn