Deeplearning4jSuite 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…
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PycmMulti-class confusion matrix library in Python
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DatascienceCurated list of Python resources for data science.
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gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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Deeplearning4jAll DeepLearning4j projects go here.
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Gitlogg💾 🧮 🤯 Parse the 'git log' of multiple repos to 'JSON'
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R3netCode for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"
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PhotolabellerFederated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer
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VizukaExplore high-dimensional datasets and how your algo handles specific regions.
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Mit Deep Learning Book PdfMIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Simple Neural NetworkCreating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
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DeepcpgDeep neural networks for predicting CpG methylation
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Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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HiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
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Kddcup 20206th Solution for 2020-KDDCUP Debiasing Challenge
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GspanPython implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
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ColorizationAutomatic line art colorization using various types of hint or without hint
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Clearml AgentClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
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Graph samplingGraph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
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All Conv KerasAll Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
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Mad TwinnetThe code for the MaD TwinNet. Demo page:
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Face Alignment TrainingTraining code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
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Lab WorkshopsMaterials for workshops on text mining, machine learning, and data visualization
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The Nlp PandectA comprehensive reference for all topics related to Natural Language Processing
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RavenRAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.
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Lipnet PytorchThe state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)
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Ngsim envLearning human driver models from NGSIM data with imitation learning.
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BdrarCode for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"
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MsnoiseA Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org
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Djl DemoDemo applications showcasing DJL
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IcfaceICface: Interpretable and Controllable Face Reenactment Using GANs
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FaceswapDeepfakes Software For All
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360sd NetPytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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Jutsu.aiClojure wrapper for deeplearning4j
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SpecganSpecGAN - generate audio with adversarial training
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OpenhistorianThe Open Source Time-Series Data Historian
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