gabeochieng Goto Github PK
Name: GabeOchieng
Type: User
Bio: AIML Deep Learning Practice & Research DevOps
Location: Nairobi, Kenya
Name: GabeOchieng
Type: User
Bio: AIML Deep Learning Practice & Research DevOps
Location: Nairobi, Kenya
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A machine learning based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
hFigures is a javascript library inspired by the hGraph that aims to deliver a starting point for interactive health data visualization.
Integration of the hFigures with a Timeline of health interventions
Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
This is the code for "How to Build a Biomedical Startup" by Siraj Raval on Youtube
This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube
This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
This is the code for "How to Build a Bitcoin Startup" by Siraj Raval on Youtube
This is the code for "How to Build a Healthcare Startup" by Siraj Raval on Youtube
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
This is the code for the "How to Make Data Amazing - Intro to Deep Learning #5" by Siraj Raval on Youtube
Language Model that makes you Laugh .
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyper-parameter optimization for sklearn
Recommendation System with IBM Watson
Deriving Neural Architectures from Sequence and Graph Kernels
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Implementation of Super Resolution CNN in Keras.
A tool to convert math equation images to LaTeX markup
Attention based model ( variation of Show Attend and Tell) for LateX code generation in Tensorflow
Neural encoder-decoder model to convert images into latex
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.