feynman27 Goto Github PK
Name: Thomas Balestri
Type: User
Bio: Scientist, runner, swimmer. Formerly a high-energy nuclear/particle physicist at CERN (ATLAS).
Location: Boston
Name: Thomas Balestri
Type: User
Bio: Scientist, runner, swimmer. Formerly a high-energy nuclear/particle physicist at CERN (ATLAS).
Location: Boston
A list of D3 libraries, plugins and utilities
A curated list of awesome Machine Learning frameworks, libraries and software.
Macros/code for running analysis on W bosons in HI collisions
Macros/code for W analysis in proton-lead collisions
Coursera's Machine Learning by Andrew Ng
Analyzes a CSV file and generates database table schema, all within the browser
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Coursera Data Science Specialization
Tools I have developed for use in data science tasks
The Leek group guide to data sharing
Deep Learning Study Group
Deep learning tutorial for PyData London 2016
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Plotting Assignment 1 for Exploratory Data Analysis
Faster RCNN with PyTorch
Feature Pyramid Network
A toolkit for developing and comparing reinforcement learning algorithms.
Code for skimming HI data for muons and subsequently locating W candidates
Code for skimming muons and for locating W bosons in high-energy nuclear collisions
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
Example code from Learning Spark book
Solutions of All 333 LeetCode Questions
Python coded examples and documentation of machine learning algorithms.
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Python code for Machine Learning course from Coursera
Models built with TensorFlow
Code samples for my book "Neural Networks and Deep Learning"
Blog
Notes from ML papers
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.