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UT Austin
- Austin, TX, US
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16:59
(UTC -05:00) - https://www.linkedin.com/in/aksh77
Highlights
- Pro
Stars
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms
Modelling human health trajectories using generative transformers
Official code repository for GATK versions 4 and up
Open-source implementation of AlphaEvolve
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
A playbook for systematically maximizing the performance of deep learning models.
Pytorch implementation of set transformer
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
a framework for training sequence-level deep learning networks
code to run sei and obtain sei and sequence class predictions
Saluki, a method to predict mRNA half-lives from sequence
Various algorithms for analysing genomics data
Predictive Biomarker Modeling Framework (PBMF)
A Hyperparameter Tuning Library for Keras
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
Pangolin is a deep-learning method for predicting splice site strengths.
Specifications of SAM/BAM and related high-throughput sequencing file formats
Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
A simple and efficient tool to parallelize Pandas operations on all available CPUs
CADD scripts release for offline scoring. For more information about CADD, please visit our website