840 Open source projects that are alternatives of or similar to Dm Haiku

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

🔮Deep Learning for text made easy with AllenNLP

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Deep Learning Toolkit for Medical Image Analysis

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

All DeepLearning4j projects go here.

Keras tutorial for beginners (using TF backend)

A curated list of awesome Distributed Deep Learning resources.

A collection of Natural language processing pre-trained models.

machine learning and deep learning tutorials, articles and other resources

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Implementation of Quickdraw - an online game developed by Google

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

DeepFaceLab is the leading software for creating deepfakes.

Deep Neural Network Sandbox for JavaScript.

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

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

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Deepfakes Software For All

A general, modular, and programmable architecture search 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"

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Experimental keras implementation of novel neural network structures

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.

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

List of articles related to deep learning applied to music

Descriptive Deep Learning

GPU accelerated Deep Belief Network

Unwrapping Black Box of ReLU DNNs

An analytical cost model evaluating DNN mappings (dataflows and tiling).

Service Classification based on Service Description

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Python Library for Model Interpretation/Explanations

Deep Learning Toolbox for Torch

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

YerevaNN blog

Denoising Autoencoders for Phenotype Stratification

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Try out deep learning models online on Google Colab

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

IEEE "Invited Talk on Deep Learning" 03/02/2018

Finding the genre of a song with Deep Learning

A small Unity AI game built with ML-agents v0.5

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

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

Lets Learn AI

Tensorflow Backend for ONNX

18.337 - Parallel Computing and Scientific Machine Learning

High Quality Monocular Depth Estimation via Transfer Learning

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

collection of utilities to use with deep learning libraries (e.g. caffe)