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Awesome Machine Learning links catalog repository.

Useful references

1:

2 (from q-viper):

Other:

LSTM's

Text-classification / Text-generation

Various frameworks

NDArray

Pytorch

ML C++ with Python on DB

Bloomberg C++ repository board

Microsoft book examples:

Source for AI-For-Beginners

NBoW from scratch:

CBoW

NN from scratch

Image processing

Audio signal processing

LSTM's 18-n collection (from topic LSTM)

NLP

MVE 3D-Reconstruction (ComputerVision)

Education (VinitSR7)

TensorRT C++ framework with environments

viix's Projects

cnn-rnf icon cnn-rnf

Convolutional Neural Networks with Recurrent Neural Filters

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

data_science_for_all icon data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

deeplearningframeworkfromscratchcpp icon deeplearningframeworkfromscratchcpp

Deep Learning framework implementation with MSE loss, ReLU, softmax, linear layer, a feature/label generator and a mini-batch training function. The main goal of this repository is to show how to develop a project in C++ by using key concepts of the language: abstract class/interface and inheritance, memory management, smart-pointers, iterator, con

deepnet icon deepnet

Educational deep learning library in plain Numpy with no autograd!

digital-image-processing-cpp icon digital-image-processing-cpp

cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")

docker-tutorial icon docker-tutorial

This is an unofficial repo of the tutorial: https://docs.docker.com/get-started/

dockerfiles icon dockerfiles

Contain dockerfiles for building deep learning environments

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