pechyonkin Goto Github PK
Name: Max Pechyonkin
Type: User
Bio: ML engineer
Location: Toronto
Blog: https://pechyonkin.me/
Name: Max Pechyonkin
Type: User
Bio: ML engineer
Location: Toronto
Blog: https://pechyonkin.me/
100 consecutive days of ML coding
A resource repository for 3D machine learning
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Google Cloud Platform Certification resources.
Building a lane detection computer vision pipeline for autonomous driving.
Building traffic sign classifier using deep learning with TensorFlow
In this project, I use deep learning to teach a simulated vehicle to drive around the track.
In this project, I use advanced computer vision techniques to detect road lanes and measure road curvature and vehicle offset relative to the center of lane.
In this project, I use computer vision methods and traditional machine learning models to build a real-time vehicle detection system.
:mortar_board: Path to a free self-taught education in Computer Science!
The 3rd edition of course.fast.ai - coming in 2019
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Coursework for Stanford's CS231n
Classify a culinary herb across multiple classes.
The fastai deep learning library, plus lessons and tutorials
dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)
Fastai-based pretrained classifier for Oxford VGG 102 Flowers data set
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Starter app for fastai v3 model deployment on Render
Coursework for EdX course, part of Open Source Society University's Bachelor in Computer Science degree
Coursework for EdX course, part of Open Source Society University's Bachelor in Computer Science degree
Numenta published papers code and data
Overview of some of the key deep learning architectures
A collection of notebooks and code related to learning PyTorch
In this project, I chose to use supervised machine learning to build a breast cancer diagnostic system.
Model analysis tools for TensorFlow
Coursework for Part 1 and Part 2 parts of the course
This plugin allows side-by-side notetaking with videos. Annotate your notes with timestamps to directly control the video and remember where each note comes from.
Personal blog
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.