518 Open source projects that are alternatives of or similar to Da Rnn

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Awesome machine learning model compression research papers, tools, and learning material.

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LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

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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

Scalable Implementation of Deep CFR and Single Deep CFR

a toolkit for pose estimation using deep learning

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

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

18.S096 - Applications of Scientific Machine Learning

Programs for stock prediction and evaluation

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

An open source library for Fuzzy Time Series in Python

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KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Modeltime unlocks time series forecast models and machine learning in one framework

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

A PyTorch Library for Accelerating 3D Deep Learning Research

A neural network for end-to-end music source separation

Concise deep learning for JAX

Time Series Forecasting Best Practices & Examples

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Deep Learning for Julia

A cleaner way to build neural networks for PyTorch.

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

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

An easy-to-use interface for measuring uncertainty and robustness.

Anomaly detection for temporal data using LSTMs

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Gradient based Hyperparameter Tuning library in PyTorch

A collection of common algorithms and data structures implemented in java, c++, and python.

Brain Modeling Toolkit

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Hummingbird compiles trained ML models into tensor computation for faster inference.

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

Video Platform for Action Recognition and Object Detection in Pytorch

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

🧑‍🏫 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, ... 🧠

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

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

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.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Unity Machine Learning Agents Toolkit

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

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a delightful machine learning tool that allows you to train, test, and use models without writing code

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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.

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RadIO is a library for data science research of computed tomography imaging

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.