apoorva1225 Goto Github PK

followers: 8.0 following: 50.0 repos: 71.0 gists: 0.0

Name: Apoorva Sharma

Type: User

Bio: Developer | Data Science enthusiast

Location: Los Angeles

Apoorva Sharma's Projects

adversarial-robustness-toolbox

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese

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

alphamatting

An OpenCV2 version for image matting algorithm described by papre - Shared Sample for Real-Time Alpha Matting

alphamatting-information-flow

Implementation of "Designing Effective Inter-Pixel Information Flow for Natural Image Matting"

autoportraitmatting

Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bayesian-matting

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

bert

TensorFlow code and pre-trained models for BERT

closed-form-matting

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

comprehensive-sample-set-image-matting

An implementation of "Improving image matting using comprehensive sample sets" by Shahrian & al.

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

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.

data-science-primer

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/