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Name: Pavlo Bashmakov
Type: User
Company: ex-Ouster
Bio: Staff Software Engineer / 3D Mapping
Twitter: bashmakov
Location: San Francisco
Blog: https://capsulesbot.com
Name: Pavlo Bashmakov
Type: User
Company: ex-Ouster
Bio: Staff Software Engineer / 3D Mapping
Twitter: bashmakov
Location: San Francisco
Blog: https://capsulesbot.com
API libraries, samples, and system images for AIY Projects (Voice Kit and Vision Kit)
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
PoseNet localization task implementation on Apolloscape dataset with PyTorch.
C++ Structure from Motion (SfM) pipeline with OpenGL visualization for Apolloscape Dataset
NASA Astrobee Robot Software
Self-Driving Car Udacity project for behavioral cloning exploration and learning to predict a steering angle on the simulated environment.
Test twitter bootstrap
Lane finding algorithm for self-driving cars, supports curved road parts.
Images and notebook for camera calibration
Simple ROS based system for self-driving car ("Carla") with traffic light detector built on Tensorflow Detection API
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Lane Finding Project for Self-Driving Car ND
CarND Term 2 Model Predictive Control (MPC) Project
CarND MPC Quizzes
Create a path planner that is able to navigate a car safely around a virtual highway
Semantic segmentation of the road using Fully Convolutional Network (FCN)
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Vehicle detection and tracking pipeline.
Hackathon code for fun
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
C++ projects organized with CMake on Linux
Convolutional Neural Network for Text Classification in Tensorflow
Codea Runtime Library for iPad by Two Lives Left
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Notes from CVPR 2018 Conference. Links to papers, thoughts and research directions.
Links and notes to the most interesting paper from CVPR 2019
My solutions/rumbling around HW tasks
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
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.