Learn how to design, develop, deploy and iterate on production-grade ML applications.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

This repository contains implementations and illustrative code to accompany DeepMind publications

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

PyTorch code and models for the DINOv2 self-supervised learning method.

Biological foundation modeling from molecular to genome scale

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

Generative AI on AWS

Almost state of art text generation library

A machine learning tool to improve the effectiveness of strain engineering in synthetic biology

APA Regression Net - Predict and Engineer Alternative Polyadenylation

Machine learning in Slay the Spire to predict fight outcomes and evaluate cards. Available on the Steam Workshop!

Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of regulatory elements.

Code repository for study ''Evaluating the representational power of pre-trained DNA language models for regulatory genomics"