nihita-ujjual Goto Github PK
Name: Nihita Ujjual
Type: User
Bio: Data Scientist keen on solving real-world problems with the power of data!
Location: Dubai
Name: Nihita Ujjual
Type: User
Bio: Data Scientist keen on solving real-world problems with the power of data!
Location: Dubai
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
A paper list of object detection using deep learning.
Deep learning in Python
Dockerize and deploy machine learning model as REST API using Flask
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
List of Data Science Cheatsheets to rule the world
This a repository for all notebooks and content related to Natural Language Processing
Free resources for learning data science
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
An implementation of the Grammar of Graphics in R
The Open Source Data Science Masters
🏖 Keras Implementation of Painting outside the box
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.
Data science and numerical computing with Julia
Open Content for self-directed learning in data science
A booklet on machine learning systems design with exercises
machine learning and deep learning tutorials, articles and other resources
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Math for Data Science
Minimal and clean examples of machine learning algorithms implementations
Deep Learning framework for Julia
Build and run Docker containers leveraging NVIDIA GPUs
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Create HTML profiling reports from pandas DataFrame objects
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Tutorial on scikit-learn and IPython for parallel machine learning
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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.