Code material for a data science tutorial
Repositories
rasbt repositories
A collection of tools to collect and download various data.
Code for the DataPipes article
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A collaboratively written review paper on deep learning, genomics, and precision medicine
Ten Simple Rules for Deep Learning in Biology
A collection of various deep learning architectures, models, and tips
Implementation of DoRA
LoRA and DoRA from Scratch Implementations
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
Code for the paper "Language Models are Unsupervised Multitask Learners"
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Finetuning BLOOM on a single GPU using gradient-accumulation
Public repository for managing Grid Platform documentation synced with gitbook on docs.grid.ai
Python module to perform under sampling and over sampling with various techniques.
Code examples for my Interpretable Machine Learning Blog Series
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch