Hand3dNetwork estimating 3D Handpose from single color images
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steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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ViPNASThe official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.
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MmposeOpenMMLab Pose Estimation Toolbox and Benchmark.
Stars: ✭ 674 (+443.55%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
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FingerposeFinger pose classifier for hand landmarks detected by TensorFlow.js handpose model
Stars: ✭ 102 (-17.74%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
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OpenpifpafOfficial implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Stars: ✭ 662 (+433.87%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
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Celebamask HqA large-scale face dataset for face parsing, recognition, generation and editing.
Stars: ✭ 1,156 (+832.26%)
deep-INFOMAXChainer implementation of deep-INFOMAX
Stars: ✭ 32 (-74.19%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+427.42%)
openpifpafOfficial implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Stars: ✭ 900 (+625.81%)
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Stars: ✭ 123 (-0.81%)
StyleGANCppUnofficial implementation of StyleGAN's generator
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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.
Stars: ✭ 641 (+416.94%)
IganInteractive Image Generation via Generative Adversarial Networks
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Alibi DetectAlgorithms for outlier and adversarial instance detection, concept drift and metrics.
Stars: ✭ 604 (+387.1%)
SpecganSpecGAN - generate audio with adversarial training
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Pose Tensorflow Human Pose estimation with TensorFlow framework
Stars: ✭ 1,042 (+740.32%)
Chainer Gan LibChainer implementation of recent GAN variants
Stars: ✭ 386 (+211.29%)
AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
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DdflowDDFlow: Learning Optical Flow with Unlabeled Data Distillation
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DiscoveryMining Discourse Markers for Unsupervised Sentence Representation Learning
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MobileNetV2-PoseEstimationTensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
Stars: ✭ 99 (-20.16%)
LighttrackLightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
Stars: ✭ 590 (+375.81%)
Textsum GanTensorflow re-implementation of GAN for text summarization
Stars: ✭ 111 (-10.48%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+4378.23%)
DRNETPyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video
Stars: ✭ 45 (-63.71%)
SineA PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Stars: ✭ 67 (-45.97%)
LinearCorexFast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
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Ai Basketball Analysis🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
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Primer-MotionCaptureA Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
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VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-19.35%)
vaeganAn implementation of VAEGAN (variational autoencoder + generative adversarial network).
Stars: ✭ 88 (-29.03%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+350%)
pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (-60.48%)
SketchtofacePix2Pix Image translation using conditional generative adversarial network - sketch to face
Stars: ✭ 66 (-46.77%)
SimCLR-in-TensorFlow-2(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Stars: ✭ 75 (-39.52%)
Deblurganv2[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Stars: ✭ 542 (+337.1%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (-30.65%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
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Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: ✭ 532 (+329.03%)
LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Stars: ✭ 149 (+20.16%)
Dna GanDNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Stars: ✭ 65 (-47.58%)
Stylegan pytorchThe implementation of StyleGAN on PyTorch 1.0.1
Stars: ✭ 381 (+207.26%)
GandlfGenerative Adversarial Networks in Keras
Stars: ✭ 46 (-62.9%)
Densebody pytorchPyTorch implementation of CloudWalk's recent work DenseBody
Stars: ✭ 378 (+204.84%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+195.97%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-20.97%)
Posefromshape(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"
Stars: ✭ 124 (+0%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+1937.1%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (-2.42%)