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Tel Aviv University
- Israel
- http://www.yoavram.com
- https://orcid.org/0000-0002-9653-4458
- @yoavram
Highlights
- Pro
Stars
Python tool for converting files and office documents to Markdown.
A curated list of resources for using LLMs to develop more competitive grant applications.
GenomeDiff (*.gd) file parser for Python
Epidemiological modeling framework for pathogen population genetics and evolution.
Implementation of (2018) Neural Ordinary Differential Equations on Keras
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Study on lexibank data (presenting the lexibank dataset).
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
3- and 4- element composition plots in Python using Matplotlib
Expanding the model to include environmental fluctuations to model the effects of stress on learning and song evolution.
Mixtures of Probabilistic Principal Component Analysers implementation in python
A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
Variational Bayesian Mixture of Factor Analysers
Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.
EGG: Emergence of lanGuage in Games
Supplementary code for Introduction to Theoretical Computer Science book.
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
AustroGames is an R package with data on games played by ethnolinguistic groups in Oceania. It coincides with a publication by Leisterer-Peoples, et al. (2021).
This is the code for the paper "A review of Approximate Bayesian Computation:inference for simulator-models" by Grazian and Fan (2019)
Evolving self-replicating artificial neural networks in a WF model over multiple GPU machines
Latent and generative models of animal vocalizations for songbirds, mice, primates, humans, cetaceans, etc.
A python package for non parametric Mann Kendall family of trend tests.
Solve symbolically defined systems of non-linear equations numerically.