Adam-NSCLPyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
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FACILFramework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
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CVPR21 PASSPyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
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cvpr clvision challengeCVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
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multimodal-vae-publicA PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
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Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
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SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
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reproducible-continual-learningContinual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
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TextboxTextBox is an open-source library for building text generation system.
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OCDVAEContinualLearningOpen-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
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FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
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vaeganAn implementation of VAEGAN (variational autoencoder + generative adversarial network).
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lagvaeLagrangian VAE
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class-incremental-learningPyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
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class-normClass Normalization for Continual Zero-Shot Learning
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CPGSteven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Stars: ✭ 91 (+78.43%)
Deep Generative ModelsDeep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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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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MetaLifelongLanguageRepository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
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tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
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Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
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vae-concreteKeras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
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Awesome TensorlayerA curated list of dedicated resources and applications
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Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
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market risk gan tensorflowUsing Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
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Tf SndcganTensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
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The Gan WorldEverything about Generative Adversarial Networks
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normalizing-flowsPyTorch implementation of normalizing flow models
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AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
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MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
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SganStacked Generative Adversarial Networks
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SIVIUsing neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)
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FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
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GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
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CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
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NanoFlowPyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
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WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
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Gan steerabilityOn the "steerability" of generative adversarial networks
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char-rnnmedium.com/@jctestud/yet-another-text-generation-project-5cfb59b26255
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Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
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Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
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Anime2SketchA sketch extractor for anime/illustration.
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AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
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tornadoThe Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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