manojkesani Goto Github PK
Name: Manoj_kesani
Type: User
Name: Manoj_kesani
Type: User
Multi-object image datasets with ground-truth segmentation masks and generative factors.
Code for the paper "Emergent Complexity via Multi-agent Competition"
A Harder ImageNet Test Set
Code release for NeRF (Neural Radiance Fields)
Super Resolution for images using deep learning.
TensorFlow (Python API) implementation of Neural Style
An algorithm for sparse semantic correspondence between images of different categories [SIGGRAPH 2018]
Efficient Image Captioning code in Torch, runs on GPU
This github contains the network architectures of NeuralVoicePuppetry.
Trajectories finder
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
Code used for texture synthesis using GAN
Neural Task Programming
Reference implementation of real-time autoregressive wavenet inference
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
[CVPR 2020] Learning to See Through Obstructions
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
This repository contains the code release for the SIGGRAPH 2020 paper "One Shot 3D Photography"
📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓
organize ideas of relation extraction
Records of papers I've read since 2018/04/15.
Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Move the bricks to complete your PhD
pix2code: Generating Code from a Graphical User Interface Screenshot
Image-to-image translation with conditional adversarial nets
Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
Learning Latent Dynamics for Planning from Pixels
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.