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Name: Apoorva Sharma
Type: User
Bio: Developer | Data Science enthusiast
Location: Los Angeles
Name: Apoorva Sharma
Type: User
Bio: Developer | Data Science enthusiast
Location: Los Angeles
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
An OpenCV2 version for image matting algorithm described by papre - Shared Sample for Real-Time Alpha Matting
Implementation of "Designing Effective Inter-Pixel Information Flow for Natural Image Matting"
Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Python implementation of Bayesian Matting from Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001
TensorFlow code and pre-trained models for BERT
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
An implementation of "Improving image matting using comprehensive sample sets" by Shahrian & al.
Stanford CoreNLP: A Java suite of core NLP tools.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
This is tensorflow implementation for paper "Deep Image Matting"
Deep Image Matting implementation in PyTorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Flask_API
Set of 📝 with 🔗 to help those who are Data Science beginners 🤖
Fully Convolutional Networks for Portrait Matting
dataset: CIFAR10, GAN using keras
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Generative Adversarial Networks implemented in PyTorch and Tensorflow
An open source iOS framework for GPU-based image and video processing
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Reimplementation of Information Flow Matting.
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.