rayanabu

rayanabu's Stars

• HKU-BAL/CONNET

  CONNET: Accurate Genome Consensus in Assembling Nanopore Sequencing Data via Deep Learning

  Language:Python126

• liyu95/DeepSimulator

  The first deep learning based Nanopore simulator which can simulate the process of Nanopore sequencing.

  Language:C11740

• adamsantoro/episodic-semantic-network

  Language:Python92

• jordan-g/Segregated-Dendrite-Deep-Learning

  Deep learning in a spiking neural network using segregated dendrites.

  Language:Python8625

• nanoporetech/taiyaki

  Training models for basecalling Oxford Nanopore reads

  Language:Python11542

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k2.8k

• google-deepmind/reverb

  Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

  Language:C++71397

• rrwick/Basecalling-comparison

  A comparison of different Oxford Nanopore basecallers

  Language:Python31454

• nextflow-io/nextflow

  A DSL for data-driven computational pipelines

  Language:Groovy2.8k643

• marbl/CHM13

  The complete sequence of a human genome

  92899

• nanopore-wgs-consortium/NA12878

  Data and analysis for NA12878 genome on nanopore

  Language:Python37592

• biocorecrg/avocado

  Analysis on avocado samples

  Language:Shell11

• biocorecrg/BioNextflow

  A collection of modules and sub-workflows for Nextflow

  Language:Nextflow264

• biocorecrg/master_of_pores

  Nextflow pipeline for analysis of direct RNA Nanopore reads

  Language:Nextflow9516

• jzsiggy/NN-from-scratch

  Creating a Neural Network from Scratch

  Language:JavaScript92

• hashicorp/terraform

  Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

  Language:Go43.4k9.6k

• FoldingAtHome/openmm

  OpenMM is a toolkit for molecular simulation using high performance GPU code.

  Language:C++224

• FoldingAtHome/coronavirus

  Folding@home COVID-19 efforts

  Language:Python1.1k77

• hypnopump/MiniFold

  MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

  Language:Jupyter Notebook20334

• aqlaboratory/proteinnet

  Standardized data set for machine learning of protein structure

  Language:Python874132

• aqlaboratory/rgn

  Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

  Language:Python32687

• largelymfs/DeepFold

  Learning structural motif representations for efficient protein structure search

  Language:Python186

• dongminlee94/deep_rl

  PyTorch implementation of deep reinforcement learning algorithms

  Language:Python49160

• lysdexic-audio/n4m-handpose

  Wraps MediaPipe HandPose inside electron and serves the detected parts via MaxAPI.

  Language:Max4413

• grrrwaaa/max_kinect

  Max/MSP/Jitter external for the Kinect, specialized for point clouds (uses libfreenect on OSX, and the Kinect SDK on Windows)

  Language:C91

• arthur-parmentier/soundpainting-signs-gestures-recognition

  A gestures and signs recognition program with PoseNet, HandPose, Kinect, Noitom Hi5 gloves and other MoCap inputs for music creation, sound sculpting and soundpainting recognition

  Language:Max281

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k454

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• clab/dynet

  DyNet: The Dynamic Neural Network Toolkit

  Language:C++3.4k702

• bjornmossa/cl-fasta-to-notes

  Common lisp tool for DNA data sonification

  Language:Common Lisp8