sidhomj

sidhomj's Stars

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  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 ;)

  Language:Jupyter Notebook26.9k1.4k2457.9k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k2452.6k3.3k

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.3k6495713

• graviraja/MLOps-Basics

  Language:Jupyter Notebook6.1k93211k

• orpatashnik/StyleCLIP

  Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

  Language:HTML4k74120564

• py-why/EconML

  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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.9k78578725

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k77166845

• nerdyrodent/VQGAN-CLIP

  Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

  Language:Python2.6k54121426

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.4k3338146

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k45281333

• tkipf/gae

  Implementation of Graph Auto-Encoders in TensorFlow

  Language:Python1.7k3579351

• udacity/cs344

  Introduction to Parallel Programming class code

  Language:Cuda1.3k25501.1k

• sknetwork-team/scikit-network

  Graph Algorithms

  Language:Python613136765

• bsolomon1124/pyfinance

  Python package designed for general financial and security returns analysis.

  Language:Python327152065

• ArchiveTeam/parler-grab

  Archiving Parler.

  Language:Lua22831127

• FRED-2/OptiType

  Precision HLA typing from next-generation sequencing data

  Language:Python1931511777

• JEFworks-Lab/STdeconvolve

  Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data

  Language:R12055713

• sidhomj/DeepTCR

  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

  Language:Jupyter Notebook113125040

• ncborcherding/utility

  Collection of Tumor-Infiltrating Lymphocyte Single-Cell Experiments with TCR

  Language:R83567

• tianshilu/pMTnet

  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

  Language:Python7832121

• junpenglao/All-that-likelihood-with-PyMC3

  Language:Jupyter Notebook728114

• msbentsen/plotannot

  A small python library to adjust and annotate axis ticklabels in plots.

  Language:Python52111

• sidhomj/DeepTCR_Cancer

  Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy

  Language:Python15232

• sidhomj/DeepAPL

  Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia

  Language:Python10123

• sidhomj/ImmunoMap

  Structural TCR Repertoire Analytics Package

  Language:Matlab6011

• sidhomj/DeepTCR_COVID19

  Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires

  Language:Python4101

• OmnesRes/ATGC

  Language:Python3203

• sidhomj/COVID19

  Analysis of SARS-CoV-2 specific T-cell receptors in ImmuneCode reveals cross-reactivity to immunodominant Influenza M1 epitope

  Language:Jupyter Notebook3200

• OmnesRes/DeepTMB

  Language:Python20

• sidhomj/ExCYT

  A Graphical User Interface for streamlining analysis of high-dimensional cytometry data

  Language:MATLAB2210