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viix-co/README.md

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

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  1. DeepLearningFrameworkFromScratchCpp DeepLearningFrameworkFromScratchCpp Public

    Forked from Apiquet/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 d…

    C++

  2. ML-DL-implementation ML-DL-implementation Public

    Forked from q-viper/ML-DL-implementation

    An implementation of ML and DL algorithms from scratch in python using nothing but numpy.

    Python

  3. ML-from-Basics ML-from-Basics Public

    Forked from q-viper/ML-from-Basics

    A simple approach to perform basic ML algorithms from scratch.

    HTML

  4. Neural-Network-From-Scratch Neural-Network-From-Scratch Public

    Forked from casper-hansen/Neural-Network-From-Scratch

    NumPy - PyTorch - TensorFlow (+Keras)

    Jupyter Notebook

  5. practical-machine-learning-with-python practical-machine-learning-with-python Public

    Forked from dipanjanS/practical-machine-learning-with-python

    Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

    Jupyter Notebook