Sanketh Vedula (sankethvedula)

sankethvedula

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Location:Haifa, Israel

Home Page:sankethvedula.github.io

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vistalab-technion

Sanketh Vedula's starred repositories

lipras

A fast and scalable backbone assignment algorithm for NMR

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pytorch-softdtw-cuda

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba

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structuremap_analysis

Analysis workflow for investigating the structural context of PTMs

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openmm-ml

High level API for using machine learning models in OpenMM simulations

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paste

Probabilistic Alignment of Spatial Transcriptomics Experiments

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localcolabfold

ColabFold on your local PC

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latentis

A Python package for analyzing and transforming neural latent spaces.

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ml-engineering

Machine Learning Engineering Open Book

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mace

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

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pytorch2jax

Pytorch2Jax is a small Python library that provides functions that wraps PyTorch models into Jax functions and Flax modules.

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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learningBF-US

Code for the paper: Learning beamforming in ultrasound imaging, MIDL 2019

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tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1161Issues:0Issues:0

Extended-Analytic-DPM

Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)

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esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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Wasserstein2Benchmark

A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

Language:Jupyter NotebookLicense:MITStargazers:32Issues:0Issues:0

Wasserstein2GenerativeNetworks

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

Language:TeXLicense:MITStargazers:3694Issues:0Issues:0

nflows

Normalizing flows in PyTorch

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theseus

A library for differentiable nonlinear optimization

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snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

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Laplacians.jl

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

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SCNeRF

[ICCV21] Self-Calibrating Neural Radiance Fields

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neural-scs

Neural Fixed-Point Acceleration for Convex Optimization

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EnbPI

Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

Language:Jupyter NotebookLicense:MITStargazers:79Issues:0Issues:0

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

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