666 Open source projects that are alternatives of or similar to Arc Pytorch

Flops counter for convolutional networks in pytorch framework

DeepFaceLab is the leading software for creating deepfakes.

Repository for different network models related to flow/disparity (ECCV 18)

Neural Style and MSG-Net

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

Android TensorFlow Lite Machine Learning Example

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Implementation of soft dynamic time warping in pytorch

Speech Enhancement Generative Adversarial Network in TensorFlow

An Engine-Agnostic Deep Learning Framework in Java

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Deep neural network based model for sequence to sequence classification

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Training and inference code for ExpandNet

An open source library for deep learning end-to-end dialog systems and chatbots.

Implementation of Simple Recurrent Unit in Keras

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.

Deep neural networks for predicting CpG methylation

Deep Reinforcement Learning based Trading Agent for Bitcoin

Deep Neural Network Sandbox for JavaScript.

Understanding Convolution for Semantic Segmentation

Learning the Enigma with Recurrent Neural Networks

Embedded and mobile deep learning research resources

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Machine Reading Comprehension in Tensorflow

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Programmable Neural Network Compression

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Training code for facial landmark detection based on deep convolutional neural network.

A general, modular, and programmable architecture search framework

List of awesome resources for machine learning-based algorithmic trading

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

speech to text benchmark framework

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"

TensorFlow documentation

Tensorflow Implementation of ChannelNets (NeurIPS 18)

An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Keras Temporal Convolutional Network.

A New Optimization Technique for Deep Neural Networks

SWA Object Detection

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

nGraph has moved to OpenVINO

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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Page to PAGE Layout Analysis Tool

Code for the paper "Learning Differential Equations that are Easy to Solve"

A curated list of awesome deep learning applications in the field of neurological image analysis