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Dataset and code accompanying the paper "COVID-19 amplified racial disparities in the U.S. criminal legal system"
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
This is the Line of Therapy Algorithm, as described in the paper "Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer" pending submission in the Journal of Biomedic…
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Open source code for AlphaFold 2.
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Example scripts demonstrating science at the command line.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
CFGL --- a tool for constructing co-expression network across multiple biological conditions
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Contains files for the deep learning in genomics primer.
Code and Exercises for the book by Richard McElreath
Solutions for the practice problems
PlaidML is a framework for making deep learning work everywhere.
TensorFlow binaries supporting AVX, FMA, SSE