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Name: Shubham Soni
Type: User
Bio: Machine learning and data analysis exploration
Location: Bengaluru, India
Name: Shubham Soni
Type: User
Bio: Machine learning and data analysis exploration
Location: Bengaluru, India
18.S096 - Applications of Scientific Machine Learning
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
TF-Agents is a library for Reinforcement Learning in TensorFlow
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Anomaly detection related books, papers, videos, and toolboxes
A curated list of awesome Machine Learning frameworks, libraries and software.
Probably the best curated list of data science books in Python
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Code for a tutorial on Bayesian Statistics by Allen Downey.
Helper scripts for [Capillary ML Hack](https://datahack.analyticsvidhya.com/contest/capillary-machine-learning-hackathon/)
Samples for Google Cloud Machine Learning Engine
A cookiecutter Conda template to bootstrap your Kaggle projects (and any data science Python projects anyway)
Code and files to go along with CS329s machine learning model deployment tutorial.
A python library for easy manipulation and forecasting of time series.
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.
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Notebooks for learning deep learning
Solutions of Tech Dev Guide's Foundation of Programming path
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
HandsOn-Unsupervised-Learning-with-Python, Published by Packt
Book about interpretable machine learning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Demo Weibull Time-to-event Recurrent Neural Network in Keras
📚Collection of various guides, books and papers.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
machineLearning codes for data hacks/competitions
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.