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

Frame-Recurrent Video Super-Resolution (official repository)

A Clojure dataframe library that runs on Spark

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

Python library for identifying the peaks and valleys of a time series.

A simple from-scratch neural net written in Go

🐍 Learn Python and Pandas from the ground up

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Materials for GWU DNSC 6279 and DNSC 6290.

A New, Interactive Approach to Learning Python

Data analysis library for JavaScript built with Ramda

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

Probabilistic time series modeling in Python

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Home assignments for data science positions

CardIO is a library for data science research of heart signals

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

A command line tool to easily add an ethics checklist to your data science projects.

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Tools for loading standard data sets in machine learning

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

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.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing

Word Embeddings for Information Retrieval

The "Python Machine Learning (1st edition)" book code repository and info resource

End-to-end training of sparse deep neural networks with little-to-no performance loss.

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

A High-Quality Real Time Upscaler for Anime Video

Research Software Engineering with Python course material

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Tutorial Sessions for SciPy Con 2019

Interactive Go programming with Jupyter

Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

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

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Machine learning fundamentals lesson in interactive notebooks

PCA that iteratively replaces missing data

STUMPY is a powerful and scalable Python library for modern time series analysis

A PyTorch Library for Accelerating 3D Deep Learning Research

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