1231 Open source projects that are alternatives of or similar to Keras

An awesome list of events and fellowship opportunities for Computer Science students

Python Cheat Sheet NumPy, Matplotlib

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

IPython widgets, interactive plots, interactive machine learning

Neural Networks that invent their own encryption 🔑

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

SuperComputing 2017 Deep Learning Tutorial

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

A blog for data analytics using data science technologies

Koalas: pandas API on Apache Spark

Python Adaptive Signal Processing

This is Andrew NG Coursera Handwritten Notes.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Pytorch implementation of Block Neural Autoregressive Flow

Self-study plan to achieve mastery in data science

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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.

A curated list of awesome machine learning interpretability resources.

SF Brigade's Data Science Working Group.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

A validation library for Pandas data frames using user-friendly schemas

Just another DL library

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

ML made simple

Machine learning metrics for distributed, scalable PyTorch applications.

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

A repository of state-of-the-art deep learning methods in computer vision

Computational Cognitive Neuroscience, Fourth Edition

Java dataframe and visualization library

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

Gender recognition by voice and speech analysis

Ranking, acceptance rate, deadline, and publication tips

Machine Learning notebooks for refreshing concepts.

Ensemble learning related books, papers, videos, and toolboxes

Dash Demo App - New York Oil and Gas

RObust document image BINarization

An intuitive library to add plotting functionality to scikit-learn objects.

A tool for automatic phoneme transcription

An intuitive library to extract features from time series

A curated list of community detection research papers with implementations.

Web scrapping and related analytics using Python tools

Tools and libraries to run neural networks in Minecraft ⛏

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

An embedded language for probabilistic programming and meta-programming.

Support for jupyter notebook templates in jupyterlab

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft