kirilcvetkov92 Goto Github PK
Name: Kiril Cvetkov
Type: User
Bio: Data Scientist; Game Programmer; Problem solver
Location: U.S
Name: Kiril Cvetkov
Type: User
Bio: Data Scientist; Game Programmer; Problem solver
Location: U.S
Software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are presented as output from the pipeline.
A curated list of resources for Document Understanding (DU) topic
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
A curated list of Awesome Transfer resources
This repository hosts the Football Data Engineering project, a Python-based initiative that automates the extraction of stadium capacity data from Wikipedia, employs Apache Airflow for data orchestration, cleanses the extracted data, and finally pushes it to Azure Data Lake for further processing and analysis with Azure Synapse and Tableau.
A re-implementation of BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network (ACM MM'18)
Implementation of BEGAN in Pytorch and other interpolation experiments
This is repository, which contains the "Machine Learning Applications of Big Data" supplementary materials on Coursera
Open-source simulator for autonomous driving research.
My solution to the Udacity Self-Driving Car Engineer Nanodegree behavioral cloning project.
CarND Term 2 Model Predictive Control (MPC) Project
Version 1 of Comic Me app
Using Deep Deterministic Policy Gradient (DDPG) to solve the 20-agent Unity Reacher problem.
Let us control diffusion models!
Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
A collection of computer vision pre-trained models.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Convolutional Neural Networks
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Image restoration with neural networks but without learning.
Implementation of Machine Learning algorithms and train models
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Tensorflow DQN and DRQN agent playing doom
This repository contains implementations and illustrative code to accompany DeepMind publications
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
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.