jacobwjs's Stars
elliottwu/unsup3d
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
gnebehay/CppMT
genforce/idinvert
[ECCV 2020] In-Domain GAN Inversion for Real Image Editing
youdao-ai/SRNet-Datagen
This is a data generator of SRNet which is the model of paper Editing Text in the wild.
manicman1999/StyleGAN2-Tensorflow-2.0
StyleGAN 2 in Tensorflow 2.0
argman/EAST
A tensorflow implementation of EAST text detector
janzd/EAST
Implementation of EAST scene text detector in Keras
NVIDIA/vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
luluxxxxx/video-loops
automatic looping of image sequence using optical flow
google/compare_gan
Compare GAN code.
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
OpenMined/PySyft
Perform data science on data that remains in someone else's server
openpifpaf/openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
xingyizhou/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
sobri909/LocoKit
Location, motion, and activity recording framework for iOS
titu1994/Snapshot-Ensembles
Snapshot Ensemble in Keras
f90/Wave-U-Net
Implementation of the Wave-U-Net for audio source separation
cpmpercussion/keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
alinlab/Confident_classifier
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ykwon0407/UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
ChihebTrabelsi/deep_complex_networks
Implementation related to the Deep Complex Networks
raj-shah/BayesianCNN
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
henrysky/astroNN
Deep Learning for Astronomers with Keras
BMClab/BMC
Notes on Scientific Computing for Biomechanics and Motor Control
AAChartModel/AAChartKit-Swift
📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
thii/FontAwesome.swift
Use FontAwesome in your Swift projects
mxcl/PromiseKit
Promises for Swift & ObjC.