Top 1253 neural-network open source projects

JAX - A curated list of resources https://github.com/google/jax

Text Classification through CNN, RNN & HAN using Keras

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Accurate Neural Network Potential on PyTorch

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Deep Learning and deep reinforcement learning research papers and some codes

End-2-end speech synthesis with recurrent neural networks

Deep learning with spiking neural networks (SNNs) in PyTorch.

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.

Simplify the training and tuning of Tensorflow models

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

CNN image style transfer 🎨.

Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.

Arm Machine Learning tutorials and examples

🧠 AI powered image tagger backed by DeepDetect

An end-to-end machine learning and data mining framework on Hadoop

A clear, concise, simple yet powerful and efficient API for deep learning.

Code for my medium article

Visualizer for neural network, deep learning, and machine learning models

OneFlow is a performance-centered and open-source deep learning framework.

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

A simple deep neural network implemented in C++，based with OpenCV Mat matrix class

Image classification for everyone.

A neuroevolution game experiment.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

3D image classification using CNN (Convolutional Neural Network)

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

A simple from-scratch neural net written in Go

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

游戏捏脸，基于神经风格迁移框架生成逼真人脸

Fast, DB Backed pretrained word embeddings for natural language processing.

The repo for the fast and easy guide to the most popular deep learning framework in the world.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

An artificial neural network written in Swift

A stable algorithm for GAN training

A cute multi-layer LSTM that can perform like a human 🎶

[ICCV 2019] Monocular depth estimation from a single image

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

A cleaner way to build neural networks for PyTorch.

Test your HN title against a neural network

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

A PyTorch Implementation of "Neural Arithmetic Logic Units"

Distributed Keras Engine, Make Keras faster with only one line of code.

The pytorch code of the paper "Intrinsic Image Popularity Assessment"

YoloV3 Implemented in Tensorflow 2.0

Machine learning glossary

This is Andrew NG Coursera Handwritten Notes.

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.