1194 Open source projects that are alternatives of or similar to Deeplearning4j

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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

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

A collection of Natural language processing pre-trained models.

Flops counter for convolutional networks in pytorch framework

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Learn OpenCV : C++ and Python Examples

Descriptive Deep Learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Keras tutorial for beginners (using TF backend)

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.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

FastText for Node.js

Code for Java Deep Learning Cookbook

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Service Classification based on Service Description

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

Deep neural networks for predicting CpG methylation

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

🔮Deep Learning for text made easy with AllenNLP

Deep Learning tools for brain medical images

Application of machine learning to the Coinbase (GDAX) orderbook

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🤘 awesome-semantic-segmentation

A collaboratively written review paper on deep learning, genomics, and precision medicine

learn code with tensorflow

A Swift deep learning library with Accelerate and Metal support.

The Official Deep Learning Framework for Route-based Place Recognition

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

An open-source platform for automating tasks using machine learning models

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

The collection of training tricks of binarized neural networks.

Self-organizing maps in Go

GPU Javascript Library for Machine Learning

Machine learning and data science blog.

Crystal Graph Neural Networks

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Awesome artificial intelligence in cancer diagnostics and oncology

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

ConvNets for Audio Recognition using Google Commands Dataset

Create automatic playlists by using Deep Learning to *listen* to the music

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

Self driving cars using NEAT

🔥🔥 Deep Learning Head Pose Estimation using PyTorch.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!