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address-net

A package to structure Australian addresses

addressr

Free Australian Address Validation, Search and Autocomplete

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

berk266

bert-ressel

PyTorch Implementation for INTERSPEECH'20 "An Effective Domain Adaptive Post-Training Method for BERT in Response Selection"

bringing-the-power-of-synthetic-data-generation-to-the-masses

We aim to make it easier for biomedical researchers to access and customize synthetic sequence data for the purpose of sharing and testing analysis methods as well as training and collaboration

candlestick-trading-analysis-strategy

Candlestick Trading, Analysis & Strategy

clinspell

Clinical spelling correction with word and character n-gram embeddings.

code_ml

cpsc_476

Back-End Engineering. Concepts and architecture of enterprise applications, components, services and communication technologies. Dependency injection, application tiers, remote objects, distributed transactions, message queues, web services and object-relational mapping. Enterprise application development in Python with build tools, containers and applications servers.

crypto-pnd-bot

Listens to Discord crypto pump-and-dump channels, buys the altcoin once announced and sells it immediately before the spike reaches its peak.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

datasynthesizer

deep-learning-pytorch-huggingface

deep-spell-checkr

Keras implementation of character-level sequence-to-sequence learning for spelling correction

deploy_ml_projects

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

ez-address-parser

An address parser for Canadian postal addresses

gensim

Topic Modelling for Humans

gluon-nlp

NLP made easy

idiomatic.js

Principles of Writing Consistent, Idiomatic JavaScript

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

learning-apache-spark

Notes on Apache Spark (pyspark)

llm_learning

machine_learning_package

matchsum

Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.