466 Open source projects that are alternatives of or similar to Neural Structured Learning

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A higher-level Neural Network library for microcontrollers.

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sktime companion package for deep learning based on TensorFlow

Support content for my blog

Purely functional artificial neural network library implemented in Haskell.

Message Passing Neural Networks for Molecule Property Prediction

Contains my explorations of TensorFlow 2.x

A Python library for creating and simulating large-scale brain models

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

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Lab Materials for MIT 6.S191: Introduction to Deep Learning

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

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

Deep Learning Computer Vision Algorithms for Real-World Use

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

TensorFlow and Deep Learning Tutorials

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

DN2A - Digital Neural Networks Architecture

InceptionTime: Finding AlexNet for Time Series Classification

Deep Reinforcement Learning for Keras.

Grokking Deep Reinforcement Learning

PyTorch Tutorial for Deep Learning Researchers

Python implementation of soft-DTW.

A flexible framework of neural networks for deep learning

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Implementation of Papers on Adversarial Examples

PyTorch implementations of algorithms for density estimation

High-quality implementations of standard and SOTA methods on a variety of tasks.

DeepFaceLab is the leading software for creating deepfakes.

pytorch 包教不包会

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

A curated list of awesome Distributed Deep Learning resources.

Build Graph Nets in Tensorflow

RLgraph: Modular computation graphs for deep reinforcement learning

Learning to Learn in TensorFlow

Interactive Notation for Computational Graphs

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

由淺入深的深度學習資源 Collection of deep learning materials for everyone

SincNet is a neural architecture for efficiently processing raw audio samples.

Experimental keras implementation of novel neural network structures

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

An evolving guide to learning Deep Learning effectively.

A neural network for end-to-end speech denoising

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet