Name: Gary Mulder
Type: User
Company: Perficientur Ltd.
Bio: I enjoy analysing and building complex systems, including s/w, h/w, and everything in between. Currently data mining time series using neural networks.
Twitter: flyingkiwiguy
Location: UK
Blog: https://www.linkedin.com/in/garymulder
Gary Mulder's Projects
Firebase - The Basics
Repository containing code for "How to Train BERT with an Academic Budget" paper
Instruct-tune LLaMA on consumer hardware
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
A lightweight R interface to the Alpha Vantage API
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Anomalous time series package for R (ACM)
Anomaly Detection with R
tDCS with Arduino device
Augmented Traffic Control: A tool to simulate network conditions
An experimental open-source attempt to make GPT-4 fully autonomous.
A curated list of awesome Machine Learning frameworks, libraries and software.
Let ChatGPT teach your own chatbot in hours with a single GPU!
BBC News classification algorithm comparison
Playing with various deep learning tools and network architectures
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Mastering Bitcoin - Unlocking digital currencies - Early Release Draft
Breakout Detection via Robust E-Statistics
Contextual Anomaly Detector
This project is part of the Data Scientist Nanodegree Program and consists of training an image classifier to recognize different species of flowers.
A framework to build Software As A Service (SaaS) platforms for data analysis pipelines.
CostSensitiveClassification Library in Python
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data Science Toolbox Repo
The Leek group guide to data sharing
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).