ajinkyapuar Goto Github PK
Name: Ajinkya Puar
Type: User
Bio: Towards Intelligent Reality
Twitter: ajinkyapuar
Location: Pune, India
Name: Ajinkya Puar
Type: User
Bio: Towards Intelligent Reality
Twitter: ajinkyapuar
Location: Pune, India
📊 Cube.js — Open-Source Analytical API Platform
an openframeworks app which repeatedly applies real-time style transfer on a webcam
CUDA Voxelizer to convert polygon meshes into annotated voxel grids
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Projects and application using computer vision and machine learning
Cognitive3D SDK for Unity - Analytics for VR/AR/MR
PyTorch implementation of CycleGAN
D2Go is a toolkit for efficient deep learning
D3.js plugin for 3d visualization
[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
PyTorch package for the discrete VAE used for DALL·E.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
An ever-changing VR collaboration by LCD Soundsystem and their fans.
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Web application for the Danesfield System
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Convolutional Neural Networks
Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?
Cheat Sheets
In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Keras implementation for Deep Embedding Clustering (DEC)
Image restoration with neural networks but without learning.
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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.