afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Topics on theoretical, mathematical aspects of DL
Deep Learning Code / Examples
Here is some of the work I have done throughout my Deep Learning research at St Francis Xavier University
Deep Learning Tutorial at Gacheon University
Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
Codes for weekly challenges on Deep Learning by Siraj
Introduction to Deep Learning for Image Recognition
A mindmap summarising Deep Learning concepts.
A collection of various deep learning architectures, models, and tips
lecture notes
Introduction to Deep Learning for Natural Language Processing
Summaries and notes on Deep Learning research papers
Solution to Andrew Ng's DeepLearning.ai course on coursera!
Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Here I show how to utilize Bayesian Deep Learning using PyMC3 for making more accurate and safer predictions for biomedical applications
Deep learning mini-course given at Technion
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
A tutorial demonstrating how to implement deep learning models for time series forecasting
Demo of running NNs across different frameworks
Implementation of recent Deep Learning papers
Here I demonstrate how to use Faster-RCNN and Mask-RCNN for cell detection using Human Protein Atlas (HPA) digital image data
Kaggle's competition for using Google's word2vec package for sentiment analysis
Use a CNN architecture to segment and classify 3d meshes
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.