dcjohnson23

dcjohnson23's Stars

• hail-is/hail

  Cloud-native genomic dataframes and batch computing

  Language:Python982246

• jamesware/APPRAISE

  A Bayesian framework for the analysis and interpretation of rare genetic variants

  Language:R44

• jigold/zCall

  A Rare Variant Caller for Array-based Genotyping

  Language:Python2517

• macarthur-lab/tx_annotation

  Code associated with 2019 manuscript entitled "Transcript expression-aware annotation improves rare variant discovery and interpretation"

  Language:Python338

• wzhy2000/fGWAS

  GWAS tools for longitudinal genetic traits based on fGWAS statistical model

  Language:R82

• clab/dynet

  DyNet: The Dynamic Neural Network Toolkit

  Language:C++3.4k704

• clab/dynet_tutorial_examples

  Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

  Language:Python433115

• sanderslab/WGS-pipeline

  WGS Pipeline

  133

• igordot/sns

  Analysis pipelines for genomic sequencing data

  Language:Shell6426

• jplatig/condor

  COmplex Network Description Of Regulators, an R package for bipartite network analysis

  Language:R116

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.7k4.2k

• tensorflow/tfx

  TFX is an end-to-end platform for deploying production ML pipelines

  Language:Python2.1k708

• ray2928/DNGeneExpressionPredictor

  Gene expression prediction based on deep learning (AutoEncoder and MLP)

  Language:Python2

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.2k4.1k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.2k8.1k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.8k22.6k

• asifahmed90/pyspark-ML-in-Colab

  Pyspark in Google Colab: A simple machine learning (Linear Regression) model

  Language:Jupyter Notebook3699

• databricks/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python2k494

• TomLous/databricks-training-deeplearning-spark

  Deep Learning, Keras, Tensorflow & Spark Training by Databricks

  Language:HTML1016

• sueann/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python11

• yahoo/TensorFlowOnSpark

  TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

  Language:Python3.9k940

• dvav/eQTLseq

  Hierarchical probabilistic models for multiple gene/variant associations based on NGS data

  Language:Jupyter Notebook52

• timflutre/eqtlbma

  Package to detect eQTLs jointly in multiple subgroups (e.g. tissues) via Bayesian Model Averaging.

  Language:C++2212

• andreyshabalin/MatrixEQTL

  Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

  Language:R6117

• google/nucleus

  Python and C++ code for reading and writing genomics data.

  Language:C++784125

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• hbctraining/In-depth-NGS-Data-Analysis-Course

  Language:HTML438268

• harvardinformatics/ATAC-seq

  Language:Python12040

• ENCODE-DCC/atac-seq-pipeline

  ENCODE ATAC-seq pipeline

  Language:Python385172