528 Open source projects that are alternatives of or similar to Terngrad

Embedded and mobile deep learning research resources

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

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

Fast inference engine for OpenNMT models

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

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

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

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

SHAInet - a pure Crystal machine learning library

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

StarNet

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

Udacity Self-Driving Car Engineer Nanodegree projects.

pix2code: Generating Code from a Graphical User Interface Screenshot

Deep Learning with TensorFlow by Packt

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Multi-style Generative Network for Real-time Transfer

深度学习论文阅读路线图

Archived - not answering issues

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

PyTorch Model Compression

TensorFlow implementation of "SoundNet".

Page to PAGE Layout Analysis Tool

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Video embeddings for retrieval with natural language queries

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

An Engine-Agnostic Deep Learning Framework in Java

Learning Chinese Character style with conditional GAN

machine learning and deep learning tutorials, articles and other resources

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Hand-gesture recognition on iOS app using CoreML

aw_nas: A Modularized and Extensible NAS 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"

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Quantization of Convolutional Neural networks.

Keras implementation of CycleGAN using a tensorflow backend.

Awesome machine learning model compression research papers, tools, and learning material.

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

The Fastest DNN Running Framework on Web Browser

An Unsupervised Learning Framework for Moving Object Detection From Videos

Detect the programming language of a source code

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

High-quality Neural Networks for Computer Vision 😎

Caffe2 implementation of Open Neural Network Exchange (ONNX)

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

Deep neural network to extract intelligent information from invoice documents.

Hiding Images within other images using Deep Learning

Attention-guided CNN for image denoising(Neural Networks,2020)

A Compositional Object-Based Approach to Learning Physical Dynamics

repo that holds code for improving on dropout using Stochastic Delta Rule

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.