Stars
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
A deep learning based approach for brain tumor MRI segmentation.
🤘 awesome-semantic-segmentation
SegNet including indices pooling for Semantic Segmentation with tensorflow and keras
3rd place solution ( Carvana Image Masking Challenge )
This code processes EEG data, extract a riemannian feature and simulates an online classification of the data using a Bayesian inference.
Python implementation of few EEG classifications with Riemannian classification of covariance matrices
A simple Parser and a Lexical Analyzer using Lex (Flex) and Yacc (Bison)
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
In Agriculture Price Monitioring , I have used data provided by open government site data.gov.in, which updates prices of market daily . Working Interface Details: We have provided user choice to s…
😎 swag opportunities for developers
Deep Learning Papers on Medical Image Analysis
Algorithmic toolbox assignments from Coursera
Curated list of project-based tutorials
A repository for HacktoberFest 2018.
A list of awesome beginners-friendly projects.
A curated list of awesome computer vision resources
VIP cheatsheets for Stanford's CS 229 Machine Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"