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Name: Bisal
Type: User
Bio: Running between c++ and python
Location: London
Name: Bisal
Type: User
Bio: Running between c++ and python
Location: London
Small code snippets showing how to create/use different Data structures in python
Minimal examples of data structures and algorithms in Python
180+ Algorithm & Data Structure Problems using C++
A repository with IPython notebooks of algorithms implemented in Python.
A bunch of links to blog posts, articles, videos, etc for learning AngularJS
Educational notes,Hands on problems & solutions for hadoop ecosystem
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome Python frameworks, libraries, software and resources
Free resources for learning Full Stack Web Development
blog raw files
Config files for my GitHub profile.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
The Python programming language
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.
Machine Learning and Data Analysis Case Studies using Spark.
Introduction to Deep Neural Networks with Keras and Tensorflow
Repo for the Deep Reinforcement Learning Nanodegree program
TensorFlow Basic Tutorial Labs
Deep Learning for NLP resources
Full Stack Python source with Pelican, Bootstrap and Markdown.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
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.