Stars
Improved Fisher Vector Implementation- extracts Fisher Vector features from your data
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Matplotlib styles for scientific plotting
A small python library to adjust and annotate axis ticklabels in plots.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data
Introduction to Parallel Programming class code
A game theoretic approach to explain the output of any machine learning model.
Implementation of Graph Auto-Encoders in TensorFlow
Representation learning on large graphs using stochastic graph convolutions.
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Python package designed for general financial and security returns analysis.
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires
Collection of Tumor-Infiltrating Lymphocyte Single-Cell Experiments with TCR
Analysis of SARS-CoV-2 specific T-cell receptors in ImmuneCode reveals cross-reactivity to immunodominant Influenza M1 epitope
A Graphical User Interface for streamlining analysis of high-dimensional cytometry data
Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia
Graph Neural Networks with Keras and Tensorflow 2.
Precision HLA typing from next-generation sequencing data