7572 Open source projects that are alternatives of or similar to Deep Math Machine Learning.ai

Plain python implementations of basic machine learning algorithms

General Assembly's 2015 Data Science course in Washington, DC

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Service Classification based on Service Description

🙄 Difficult algorithm, Simple code.

A curated list of awesome Distributed Deep Learning resources.

Python code for common Machine Learning Algorithms

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

A New, Interactive Approach to Learning Python

Deep Learning From Scratch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Oxford Deep NLP 2017 course - Practical 1: word2vec

Machine Learning notebooks for refreshing concepts.

StarNet

🔮Deep Learning for text made easy with AllenNLP

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

A curated list of awesome embedding models tutorials, projects and communities.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Aulas da Escola de Inteligência Artificial de São Paulo

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

I will update this repository to learn Machine learning with python with statistics content and materials

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Keras tutorial for beginners (using TF backend)

A collection of Natural language processing pre-trained models.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Datasets, tools, and benchmarks for representation learning of code.

Credit card fraud detection through logistic regression, k-means, and deep learning.

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

machine learning algorithm

Machine Learning University: Accelerated Natural Language Processing Class

A collection of deep learning models implemented in PyTorch

FastText for Node.js

Machine Learning for High Energy Physics.

Notebooks for the Seattle PyData 2017 talk on Scattertext

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Implementation of simple autoencoders networks with Keras

A PyTorch implementation of OpenAI's REPTILE algorithm

Machine Learning Concepts with Concepts

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

High-quality Neural Networks for Computer Vision 😎

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.