• 1
• 0
• 0

philloidin / deeplearning.ai-Assignments

• 1
• 0
• 0

philloidin / CellProfiler-Analyst

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

• 1
• 0
• 0

philloidin / DeepAccess

Code for training, testing, and motif extraction from multilabel DNA sequence ensemble of convolutional neural networks

• 1
• 0
• 0

philloidin / bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

• 1
• 0
• 0

philloidin / prokaryote

CellProfiler’s Java dependencies

• 1
• 0
• 0

philloidin / centrosome

An open source image processing library

• 1
• 0
• 0

philloidin / serenity

The Serenity Operating System 🐞

• 1
• 0
• 0

philloidin / dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

• 1
• 0
• 0

philloidin / single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

• 1
• 0
• 0

philloidin / bioservices

Access to Biological Web Services from Python.

• 1
• 0
• 0

philloidin / biopython-wheels

Automated compilation of Python wheel binary packages for Biopython

• 1
• 0
• 0

philloidin / biopython

Official git repository for Biopython (originally converted from CVS)

• 1
• 0
• 0

philloidin / docs

Repository for automatically deploying the Biopython documentation

• 1
• 1
• 0

philloidin / Andrew-Ng-Deep-Learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

• 1
• 0
• 0

philloidin / biopython.github.io

Source of biopython.org website, migrated from MediaWiki

• 1
• 0
• 0

philloidin / TRUST4

TCR and BCR assembly from RNA-seq data

• 1
• 0
• 0

philloidin / NatureFeedbackdegronLOCKR

Code and data used for Nature paper

• 1
• 0
• 0

philloidin / Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

• 1
• 0
• 0

philloidin / d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

• 1
• 0
• 0

philloidin / scanpy

Single-Cell Analysis in Python. Scales to >1M cells.