dc's Projects
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
This will be my attempt to continue advent of code every year (consistently!). The code is not gonna be pretty, so don't expect anything magnifigue. :D I will start with python and potentially add some functional programming language in the mix.
Intuitive timetable builder for the Australian National University.
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Mirror of Apache Cassandra
Classifying real and fake text using metrics measuring human-written and machine-generated text
Contrastive Language-Image Pretraining
Code examples and jupyter notebooks for the Cohere Platform
Deep Learning for Coders, 2020, the website
Public facing notes page
K-means clustering and Knn classification to optimally group a set of data points and labelling them
my personal blog post site
Pytorch Lightning code guideline for conferences
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
Clustering documents using k-means algorithm with cosine similarity and tf-idf
End-to-End Speech Processing Toolkit
The fastai book, published as Jupyter Notebooks
Library for fast text representation and classification.
Functional Programming Course
Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
Topic Modelling for Humans
building gpt2 from scratch with Karpathy
Google Core Libraries for Java 6+