foxtrotmike Goto Github PK

acranker

AcRanker is a machine learning system developed in python that ranks proteins in a proteome as per their Anti-CRISPR tendencies predicted using sequence features.

albrt

Cellular Composition Prediction in Routine Histology Images

animl

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

arxiv.py

Python wrapper for the arXiv API

as

autograd_exmaple

An example of using automatic differentiation in machine learning

awesome_spatial_omics

tools and notes for spatial omics

biotools

Misc Bioinformatics Tools

blasternn

BLAST nearest neighbor

blogposts

Code collection for published blog posts

cafemap

cair

Content Aware Image Resizing

causal-book-code

cellular-localisation-and-counting

Luana Georgescu's Project

chem101.6

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

chemsaber

clam

Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images

corehist

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images

cs909

cytoscape

deep-phurie

deephistology

A pan-cancer platform for mutation prediction from routine histology

diffjpeg

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

distillation_privileged_information

ICLR 2016 paper.

divdis

dni.pytorch

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

dsgd

Julia Implementation of "Scalable Kernel Methods via Doubly Stochastic Gradients" by Dail et al., 2015 Author: Dr. Fayyaz Minhas.

esmil

An embarrassingly simple approach to neural multiple instance classification