NathanHundley
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Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Short demo of light weight ESN implementation for ODSC East 2020
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
An introduction to network analysis and applied graph theory using Python and NetworkX
Test LightGBM's Dask integration on different cluster types
Advances in Conversational AI and NLP through Large Scale Language Models such as GPT-3
Tools in R for computing and using Z-estimator approximate influence functions.
PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"
A collection of resources for learning and research.
🐍 Learn Python and Pandas from the ground up
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Matt Brems' Missing Data Workshop
Introduction to scikit-learn: Machine Learning in Python
Slides and code repository for 90 minutes training session held at ODSC West 2020.
Repository for "Getting Started with Pandas for Data Analysis" workshop at OSDC West 2020
NLP Training workshop for ODSC 2020
Public talk given at Toronto Big Data and AI 2020 conference, and also at ODSC West.
Slides for a talk at the 2020 Open Data Science Conference (West)
ODSC West 2020 Training on Generative Quantum Machine Learning
ODSC West WorkshopBuilding ML Pipelines for BERT models with TFX