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Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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T3[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
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Handeye calib camodocalEasy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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Tsdf Fusion PythonPython code to fuse multiple RGB-D images into a TSDF voxel volume.
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AE-CNNICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset
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RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
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Tensorflow Mnist VaeTensorflow implementation of variational auto-encoder for MNIST
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MolencoderMolecular AutoEncoder in PyTorch
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Deepsvg[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
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Intrinsic3dIntrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
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Image similarityPyTorch Blog Post On Image Similarity Search
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Apc Vision ToolboxMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
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Basic nns in frameworksseveral basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
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video autoencoderVideo lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
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CilantroA lean C++ library for working with point cloud data
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DancenetDanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
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mirapyMiraPy: A Python package for Deep Learning in Astronomy
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PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
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Pt SdaePyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
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Tsdf FusionFuse multiple depth frames into a TSDF voxel volume.
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Rnn VaeVariational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
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AutoencodersTorch implementations of various types of autoencoders
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Sdne KerasKeras implementation of Structural Deep Network Embedding, KDD 2016
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MaskfusionMaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
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Co FusionCo-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
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CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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Open3d MlAn extension of Open3D to address 3D Machine Learning tasks
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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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Alae[CVPR2020] Adversarial Latent Autoencoders
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Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
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Noise2Noise-audio denoising without clean training dataSource code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…
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NeurecNext RecSys Library
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Cifar-AutoencoderA look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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DmraCode and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".
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SAE-NADThe implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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ACVR2017An Innovative Salient Object Detection Using Center-Dark Channel Prior
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PeacFast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)
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3dmatch Toolbox3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
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AialphaUse unsupervised and supervised learning to predict stocks
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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