Pinned Repositories
easyautoml
Automl with Featuretools generate features and use tpot to select model
epbnba_jp_scratchorg
Japanese version of the Einstein Prediction Builder/Einstein Next Best Action scratch org
epbtrailhead
A Salesforce scratch org deployer for the Einstein Prediction Builder trailhead org
gcn_expo_walkthough_gemini_video
Using Gemini 1.5 pro to process 46 minutes video of Google Cloud Next 2024 Expo WALK through
get-started-with-redux
js-data-structure
JavaScript data structure implemented in ES6.
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
lesson-learned
Lesson Learned
medicalappointments_jp
socialchat
Social Chat on Node.js
almandsky's Repositories
almandsky/easyautoml
Automl with Featuretools generate features and use tpot to select model
almandsky/almandsky.github.io
Sky Chen Github Pages
almandsky/auto-sklearn
almandsky/auto_ml
Automated machine learning for analytics & production
almandsky/courses
fast.ai Courses
almandsky/data-science-from-scratch
code for Data Science From Scratch book
almandsky/debugging-service-workers
code associated with the "Debugging Service Workers" codelabs (https://codelabs.developers.google.com/codelabs/debugging-service-workers/index.html)
almandsky/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
almandsky/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
almandsky/deno
A secure TypeScript runtime on V8
almandsky/donkey
self driving car
almandsky/elasticSearch
almandsky/fast.ai
Fast.ai course notebook
almandsky/fastai
The fast.ai deep learning library, lessons, and tutorials
almandsky/featuretools
automated feature engineering
almandsky/flicksApp
almandsky/gatsby-material-starter
A blog starter with Material design in mind for GatsbyJS.
almandsky/gestureCanvas
almandsky/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
almandsky/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
almandsky/h2o4gpu
H2Oai GPU Edition
almandsky/ios-tip-calculator
iOS Tip Calculator
almandsky/mrjob
Run MapReduce jobs on Hadoop or Amazon Web Services
almandsky/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
almandsky/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
almandsky/playground
Play with neural networks!
almandsky/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
almandsky/python-data-structure
almandsky/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
almandsky/TwitterClient
iOS Twitter Client