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Awesome Machine Learning links catalog repository.

Useful references

1:

• Machine Learning From Scratch : Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.
• Machine-Learning-Numpy clear NumPy, full list of impl.
• Deep learning samples: NN, LSTM, etc
• nn-from-scratch
• tf-rnn
• cnn-text-classification-tf (TF) + CNN_sentence (NumPy)++
• Dual LSTM Encoder for Dialog Response Generation chatbot-retrieval
• deeplearning-papernotes
• startupreadings
• NLP utils collection + bot + text-generation: NLP (CBoW + skip-gram)
• NLPTools for text processing and other tools
• deepnet
• practical-machine-learning-with-python code to book

2 (from q-viper):

• ML-from-Basics(++)
• ML-DL-implementation(++) + original fork implementation of ML and DL algorithms from scratch in python using nothing but numpy.
• Convolutional Neural Networks From Scratch on Python

Other:

• IBM: Neural networks from scratch with sources

• Neural Network from scratch: Part 5: C++ Deep Learning Framework Implementation with sources C++

• Image Style itransfer

LSTM's

• TimeSeries

• LSTMs

• WhydahGally-LSTM-MLP

• Deep-Learning-Specialization

• neural-networks-and-deep-learning

• predicting-bitcoin-prices-using-LSTM

• GIST

• On Medium: From a LSTM cell to a Multilayer LSTM Network with PyTorch

• rnn-tutorial-gru-lstm

• sentiment-analysis

Text-classification / Text-generation

• Text-Generation-BiLSTM-PyTorch
• Text-Classification-LSTMs-PyTorch
• Text-Classification-CNN-PyTorch
• text-generator

Various frameworks

• NumPy C++ port

NDArray

• ndarray
• libdynd
• tinyndarray

Pytorch

• word-embeddings-pytorch
• polynomial-numpy with gradient

ML C++ with Python on DB

• Hands-On-Machine-Learning-with-C++ (From Kirill)

Bloomberg C++ repository board

• CBOW-modification
• CNN with RNN
• Foundations of Machine Learning
• Multi-threaded library

Microsoft book examples:

Source for AI-For-Beginners

• Embeddings
• NER
• CBoW
• Text classification

NBoW from scratch:

• text_convnet(nbow)+
• nbow-code has been re-factored and integrated into the new repo: sentiment analysis+

CBoW

• word2vec c++ impl from T.Mikolov
• word2vec-from-scratch-with-python
• word2vecpy
• tensorflow_word2vec_cbow_basic.py from www.tensorflow.org/versions/r0.10
• CBoW, part-1
• CBoW, part-2 (nlp-starter-logsoftmax-nlloss-cross-entropy)
• MiniWord2Vec based on NumPy
• pytorch-continuous-bag-of-words, layer-to-layer.
• cross_entropy_py tutorial
• tensorflow-word2vec-cbow-basic
• cbow-demo based on PyTorch

NN from scratch

• ANN pure NumPy from scratch, step-by-step.

Image processing

• Image combiner + NN implementation from scratch
• ConvNet-JS by Andrej Karpathy

Audio signal processing

• signal_processing
• ThinkDSP

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

• LSTM_from_scratch
• LSTM_py2numpy_code_vectorization
• multilayer-LSTM-with-numpy
• LSTM-DLNN2020
• LSTM-RNN-in-numpy
• lstm_gru_forward_numpy
• LSTM-NumPy-3
• RNN-LSTM-with-numpy
• rnn_lstm_numpy
• LSTM-in-numpy-gen-Java
• LSTM-numpy-2
• LSTM-Numpy
• LSTM_numpy
• Numpy-LSTM-1
• LSTM-Numpy-CIFG
• Numpy-LSTM
• LSTM_using_numpy
• RNN-LSTM-in-numpy

NLP

• nlp-deep-learning

MVE 3D-Reconstruction (ComputerVision)

• 3d-reconstruction (part-1)
• 3d-point-cloud-processing (part-2)
• ImageBasedModellingEdu
• MVE framework, rudimentary Python bindings are available here
• MVE wiki

Education (VinitSR7)

• attention_keras
• StackoverFlow-Tag-Predictor
• Human-Activity-Recognition
• Naive-Bays-Implemenation
• K-Nearest-Neighbor-Implementaion
• K-Means
• Document-Scanner
• GLoVe-Implementation
• Logistic-Regression-with-Advanced-Optimizers
• TensorFlow-2.0-Question-Answering
• Machine-Translation-using-Attention-Networks
• Machine-Translation-using-encoder-decoder
• Image-Caption-Generation
• Text-Summarization

TensorRT C++ framework with environments