talismanbrandi
Research Scientist at EAI, Northeastern University and Staff at Harvard Medical School. Focus: Core AI, RNA Biology, Theoretical Particle Physics
Northeastern UniversityBoston, USA
Pinned Repositories
HEPfit
A tool to combine indirect and direct searches for new physics
AI-ML-Tools
Regression, Interpolation and classifications with GSL, TensorFlow and scikit-learn
bat
Bayesian analysis toolkit http://mpp.mpg.de/bat (MPI parallelized version modified for HEPfit)
binding-graph-neural-networks
Neural networks for RBP binding graphs
Causal-Inference-IML-C19
Causal Inference with Interpretable Machine Learning and Shapley values to study the disparities in the spread of COVID-19 in the USA
covid-19-USA-SE
Use of Interpretable Machine Learning for Analyzing Socio-economic disparities and COVID-19 in the USA
eCLIP-ENCODE-GRCH38
ENCODE eCLIP data preprocessing
HEP-ML-AI
Collective efforts to build ML/AI tools for Particle Physics
Human-Mobility-COVID-19
Analysis of human mobility data
Interpretable-ML-bbh
A repository for application of BDTs and Shapley values to associated bbh production at HL-LHC and FCC-hh
talismanbrandi's Repositories
talismanbrandi/Causal-Inference-IML-C19
Causal Inference with Interpretable Machine Learning and Shapley values to study the disparities in the spread of COVID-19 in the USA
talismanbrandi/binding-graph-neural-networks
Neural networks for RBP binding graphs
talismanbrandi/eCLIP-ENCODE-GRCH38
ENCODE eCLIP data preprocessing
talismanbrandi/Human-Mobility-COVID-19
Analysis of human mobility data
talismanbrandi/IML-diHiggs
Codes for reproducing the results of arXiv:2207.04157
talismanbrandi/Interpretable-ML-bbh
A repository for application of BDTs and Shapley values to associated bbh production at HL-LHC and FCC-hh
talismanbrandi/rbp-binding-bivariate-shapley
Bivariate Shapley values for rbp binding graphs
talismanbrandi/AI-ML-Tools
Regression, Interpolation and classifications with GSL, TensorFlow and scikit-learn
talismanbrandi/bat
Bayesian analysis toolkit http://mpp.mpg.de/bat (MPI parallelized version modified for HEPfit)
talismanbrandi/covid-19-USA-SE
Use of Interpretable Machine Learning for Analyzing Socio-economic disparities and COVID-19 in the USA
talismanbrandi/coding_challenges
talismanbrandi/COVID19_mobility
COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
talismanbrandi/Generic-Drugs-Japan
talismanbrandi/Graphormer-bipartite
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
talismanbrandi/high-precision-ml
talismanbrandi/IML-COVID-19
Modeling the Influence of Socioeconomic Factors and Chronic Health Conditions on the RegionalSpread of COVID-19
talismanbrandi/KuraNet
This repository contains the code for training and visualizing the fully-differentiable Kuramoto model, "KuraNet".
talismanbrandi/ltc-xml
Explainable ML for LTC facilities managed by CMS
talismanbrandi/picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
talismanbrandi/Plotting
talismanbrandi/qqzz4l-NN
Neural Network implementations of surrogate regressors for qqZZ4l
talismanbrandi/RGESolver
A c++ library to perform numerically RG evolution of SMEFT coefficients
talismanbrandi/rmats-turbo
Fork of rmats-turbo for developing pipelines for Castaldi, Dy, Paul and Platig's labs
talismanbrandi/SMatrix
a repository for CP violation and rescattering in open charm meson decays
talismanbrandi/SpliceAI
A deep learning-based tool to identify splice variants
talismanbrandi/spliceai-pytorch
Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.
talismanbrandi/the-real-regressors
A repository for the real regressors
talismanbrandi/Universality-COVID-19
Emergence of universality in the transmission dynamics of COVID-19
talismanbrandi/website
personal website
talismanbrandi/Zweig-Rule
The codes for the charm-2021 paper on Zweig rule