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

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!

VDSR (CVPR2016) pytorch implementation

Deep Learning Projects that Build Themselves

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Deep neural models for core NLP tasks (Pytorch version)

Grokking Deep Reinforcement Learning

Brevitas: quantization-aware training in PyTorch

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

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

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Tensorflow implementation of CycleGAN

Segmentation models with pretrained backbones. PyTorch.

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

A curated list of awesome deep vision web demo

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

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

RMDL: Random Multimodel Deep Learning for Classification

Papers for deep neural network compression and acceleration

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)

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

Neural Network TensorFlow C API

Implementation of Papers on Adversarial Examples

Caffe for Sparse and Low-rank Deep Neural Networks

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

U-Net: Convolutional Networks for Biomedical Image Segmentation

A fast Clojure Tensor & Deep Learning library

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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

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

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

Contains my explorations of TensorFlow 2.x

Machine Learning Environment - alpha version

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

Tensors and differentiable operations (like TensorFlow) in Rust

Plain python implementations of basic machine learning algorithms

pytorch 包教不包会

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

This is a repository for an object detection inference API using the Tensorflow framework.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

The Tensor Algebra SuperOptimizer for Deep Learning

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

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

RLgraph: Modular computation graphs for deep reinforcement learning

Relax! Flux is the ML library that doesn't make you tensor

A Thai word tokenization library using Deep Neural Network

Interactive Notation for Computational Graphs

RAD: Reinforcement Learning with Augmented Data

Mobile AI Compute Engine Model Zoo

Deep Neural Network for Sentiment Analysis on Twitter

Survival analysis with PyTorch

Deep Learning Computer Vision Algorithms for Real-World Use

A curated list of awesome awesomeness about artificial intelligence

Hierarchical Object Detection with Deep Reinforcement Learning

A higher-level Neural Network library for microcontrollers.