libs.garden
Most popular libraries and apps
Categories
Deep Learning
pytorch-wrapper β Provides a systematic and extensible way to b...
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Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
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jkoutsikakis/pytorch-wrapper
v0.1.4
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Supplementary material for systematic literature review on deep learning and EEG.
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hubertjb/dl-eeg-review
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Automated systematic reviews by using Deep Learning and Active Learning
36
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msdslab/automated-systematic-review
v0.1.1
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Python code, deep learning models and associated jupyter notebooks to be used by the participants of the deep learning workshop at re:Invent 2017 (MCL311).
4
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aws-samples/reinvent-fine-tune-mxnet-model-for-ios-coreml
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"We propose a novel deep learning approach for removing systematic batch effects. Our method is based on a residual neural network, trained to minimize the Maximum Mean Discrepancy between the multivariate distributions of two replicates, measured in different batches."
1
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singlecell-batches/distribution-matching-residual-networks
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CK workflow for MILEPOST GCC (machine learning based compiler) to let the community reproduce and build upon our past R&D projects. See related project funded by Raspberry Pi foundation to crowd-tune programs across RPi devices provided by volunteers and apply machine learning (decision trees, deep learning, etc) to acclerate optimization:
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ctuning/reproduce-milepost-project
20181220
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Classification of MNIST digits by convolutional neural networks and then extracting features. After that I tune the to classes labels using simple neural network The code is written using Keras deep learning library. Got Accuracy: %99.82 error rate 0.18
14
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adelsalehali1982/Best-MNIST-Classification-ever-seen-Without-any-difficult-tricks
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Modular & extensible deep learning framework built on Theano.
217
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vitruvianscience/OpenDeep
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Dependency-free, simple and extensible Deep Learning library, written in C
5
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wenkesj/cai
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Code for the Book Chapter [Under Review] DGADetector: Design and Investigation of an Extensible Framework for Malicious Domain Prediction Using Deep Learning Algorithms
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dineshresearch/DGADetector
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DynamicVINO is an open-source C++ library for establishing easy-to-use, extensible and scalable deep learning inference system for Intel CPU, GPU, NCS, FPGA based on Intel' s OpenVINO toolkit
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LewisLiuPub/DynamicVINO
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A highly extensible deep learning framework
420
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zomux/deepy
v0.3.0
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Create, train, and evaluate deep learning models in TensorFlow with configuration files (yaml or json)
1
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JackBurdick/YeahML
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The aim of this project is to use a deep learning approach to design and evaluate an algorithm for detecting drowsiness related lane departures based on a time series feature.
1
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kmutya/Algorithms-for-Drowsy-Driver-Detection
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We build a deep learning LSTM model to evaluate the helpfulness score of the Amazon customer product reviews
1
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LanternD/cse842-amazon-review-helpfulness-prediction
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Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN
103
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flipkart-incubator/optimus
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We will create the email spam filter model using deep learning and evaluate the model with other currently popular machine learning methods like xgboost, random forest, svm .
1
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mieitza/Deep-Learning-based-Spam-Filter
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Using deep learning to evaluate the performance of Hadoop systems. Computing Infrastructure course project, Politecnico di Milano, A.Y. 2015/2016.
1
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danielegrattarola/hadoop-learning
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A tutorial style explanation of how to evaluate the exact Hessian in Deep Learning using Autograd and Tensorflow
1
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WessZumino/Hessian-with-Tensorflow
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This repository holds the companion project to Goby3, used to train and evaluate deep learning models to call variations. This repository contains the Matcha framework to help train and evaluate deep learning models trained with semi-simulation. See docs below for details.
46
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CampagneLaboratory/variationanalysis
r1.4.0
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For "Deep Learning class" at ETHZ. Evaluate how well the fake voice of Barack Obama 1. confuses the voice verification system, 2. can be detected.
4
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kstoneriv3/Fake-Voice-Detection
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Build deep learning applications in a new and easy way.
21
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minetorch/minetorch
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Solve the Poisson equation in a machine-learning (deep learning) inspired way
1
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eschnett/mlpoisson
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Provides the DaVinci models that are converted from a mainstream, open source, deep learning network models
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Ascend/models
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Tensorark is a web application that provides a graphical interface for deep learning tasks using TensorFlow.
1
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juanpamm/tensorark
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A predicatable way to train your deep learning model
2
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FrancescoSaverioZuppichini/Estimator
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Curated way to convert deep learning model to mobileοΈ
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younatics/DeepLearningToMobile
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Deep learning to create a new way of obfuscating information
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arthurPrvst/Steganography
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Deep learning way for blind image quality assessment
10
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synckey/deep_biq
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Light your way in Deep Learning with Torch
509
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Atcold/torch-Video-Tutorials
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