Genannsimple neural network library in ANSI C
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EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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Autograd.jlJulia port of the Python autograd package.
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CryptonetsCryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
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RobinRObust document image BINarization
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JevoisJeVois smart machine vision framework
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GonGradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
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BnafPytorch implementation of Block Neural Autoregressive Flow
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Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
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Ml AgentsUnity Machine Learning Agents Toolkit
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Kitnet PyKitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
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DnwDiscovering Neural Wirings (https://arxiv.org/abs/1906.00586)
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PysnnEfficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
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FrvsrFrame-Recurrent Video Super-Resolution (official repository)
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BanditmlA lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
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Neural ToolsTools made for usage alongside artistic style transfer projects
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Pytorch Model ZooA collection of deep learning models implemented in PyTorch
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Glcic PytorchA High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
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Keras2cppit's a small library for running trained Keras 2 models from a native C++ code.
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AutoencodersImplementation of simple autoencoders networks with Keras
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PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
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Gluon TsProbabilistic time series modeling in Python
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FlowppCode for reproducing Flow ++ experiments
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EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
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Merlin.jlDeep Learning for Julia
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Capsule Net Pytorch[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
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Ed4Computational Cognitive Neuroscience, Fourth Edition
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Hep mlMachine Learning for High Energy Physics.
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DeeplyPHP client for the DeepL.com translation API (unofficial)
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PersephoneA tool for automatic phoneme transcription
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Scarpet NnTools and libraries to run neural networks in Minecraft ⛏
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Deep CfrScalable Implementation of Deep CFR and Single Deep CFR
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Enhancenet CodeEnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
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JsnetJavascript/WebAssembly deep learning library for MLPs and convolutional neural networks
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AlgorithmsA collection of common algorithms and data structures implemented in java, c++, and python.
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AstronnDeep Learning for Astronomers with Tensorflow
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NettackImplementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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BenderEasily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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ClicrMachine reading comprehension on clinical case reports
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Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
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AizynthfinderA tool for retrosynthetic planning
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Brain BitsA P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.
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Gan MriCode repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
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AvalancheAvalanche: a End-to-End Library for Continual Learning.
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