Akshay Yadav's repositories
family-sets-comparison-tool
Container for comparing two sets of gene families
protein-domain-evolution-project
Cyber Carpentry 2019 Project
undercl-detection-correction
Container for under-clustering detection and correction of gene-famiiies
BBOX1_rnaseq_analysis
BBOX1 rnaseq analysis
bern
A neural named entity recognition and multi-type normalization tool for biomedical text mining
bert
TensorFlow code and pre-trained models for BERT
BERT-custom-NER
Repository for BERT-based custom NER pipeline
BERT-custom-RE
Repo of customized BERT-based Relation Extraction for biomedical data
BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
biobert
BioBERT: a pre-trained biomedical language representation model
biobert_embedding
Token and Sentence level embeddings from BioBERT model
bioinformatics_ossu
:microscope: Path to a free self-taught education in Bioinformatics!
bluebert
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Deep_learning_examples
Examples of using deep learning in Bioinformatics
deeplearning-biology
A list of deep learning implementations in biology
invitae-exercise
Repository containing solution for Bioinformatics Exercise B.2
isimp
A sentence simplification system
KGen
Knowledge graphs generation from unstructured text.
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
ppmi
Analysis of Parkinson's Progressive Markers Initiative Data
PPMI-Subtype-Analysis
Subtype analysis with disease progression for Parkinson's Disease (Nature Scientific Reports)
pyFTPclient
FTP client written in python with monitoring and reconnection
PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-
PyTorch for Deep Learning and Computer Vision Course
PyTorchUltimateMaterial
This repo holds material for the Udemy course "PyTorch Ultimate"
TCRconv
TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TCRs and convolutional neural networks for the prediction.
udify
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
ViR
ViR is designed to solve the dispersion of reads due to intrasample variability for a reliable identification of lateral gene transfer events, with a focus on viral integrations