840 Open source projects that are alternatives of or similar to Nn_playground

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Descriptive Deep Learning

DeepFaceLab is the leading software for creating deepfakes.

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Implementation of Quickdraw - an online game developed by Google

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

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

Deep Neural Network Sandbox for JavaScript.

Deepfakes Software For All

JAX-based neural network library

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

GPU accelerated Deep Belief Network

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

A general, modular, and programmable architecture search framework

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

All DeepLearning4j projects go here.

Keras tutorial for beginners (using TF backend)

Deep Learning Toolkit for Medical Image Analysis

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

machine learning and deep learning tutorials, articles and other resources

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

🔮Deep Learning for text made easy with AllenNLP

A collection of Natural language processing pre-trained models.

List of articles related to deep learning applied to music

A curated list of awesome Distributed Deep Learning resources.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Deep Learning Projects that Build Themselves

Deep neural models for core NLP tasks (Pytorch version)

Purely functional artificial neural network library implemented in Haskell.

Action recognition using soft attention based deep recurrent neural networks

Brevitas: quantization-aware training in PyTorch

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Tensorflow implementation of CycleGAN

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Lightweight library to build and train neural networks in Theano

This is an open sourced book on deep learning.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

RMDL: Random Multimodel Deep Learning for Classification

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Neural Network TensorFlow C API

an Open Course Platform for Stanford CS224n (2020 Winter)

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Caffe for Sparse and Low-rank Deep Neural Networks

U-Net: Convolutional Networks for Biomedical Image Segmentation

Tensorflow Implementation of Yahoo's Open NSFW Model

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Gorgonia is a library that helps facilitate machine learning in Go.

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

A pytorch adversarial library for attack and defense methods on images and graphs