lstm_from_scratch

LSTM variants implemented from scratch (numpy)

lstm_gru_forward_numpy

Use the numpy package to implement the forward propagation process of LSTM and GRU architectures to help understand the structure of recurrent neural networks.

lstm_numpy

Simple LSTM implementation, using python and numpy library

lstm_py2numpy_code_vectorization

lstm_using_numpy

Implementation of LSTM using numpy for text generation.

machine-learning-algorithms

Showing what happens when we use logistic regression with mean square loss, neural network with zero initialization...

machine-learning-andrew-ng

The handouts and exercises of Andrew Ng's Machine Learning course

machine-learning-numpy

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

machine-translation-using-attention-networks

English to German Machine Translation using Encoder Decoder with Attention Networks

machine-translation-using-encoder-decoder

Encoder Decoder model for English to German Machine Translation Task

miniword2vec

Implementation from scratch of the Skipgram and CBoW (Continuous Bag of Words) model for learning word embeddings from a corpus.

mit-18.06-linalg-notes

MIT 18.06 线性代数笔记

ml-dl-implementation

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

ml-from-basics

A simple approach to perform basic ML algorithms from scratch.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-learn

This is a toy project to learn ML

multilayer-lstm-with-numpy

multilayer-perceptron-with-tensoflow

This repository shows the implementation of a multilayer perceptron making use of tensorflow in python in a toy dataset to detect fertility issue. Tensorflow Python The dataset was downloaded from https://archive.ics.uci.edu/ml/datasets/Fertility#

mve

Multi-View Environment

naive-bays-implemenation-

Implementation of Naive Bayes in Python

ndarray

NumPy-compatible multidimensional arrays in C++

neural-network-from-scratch

NumPy - PyTorch - TensorFlow (+Keras)

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

nlp

This is where I put all my work in Natural Language Processing

nlp-deep-learning

Deep learning NLP

nlp-starter-logsoftmax-nlloss-cross-entropy

nlptools

A set of NLP tools created during my medium NLP Explanation series.

nlp_workshop_odsc_europe20

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topi

nn-from-scratch

Implementing a Neural Network from Scratch

notes-linear-algebra

线性代数笔记