kuleshov/nanoscope kuleshov/nanoscope

  • Stars
    star
    2
  • Language
    C
  • Created about 9 years ago
  • Updated almost 9 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
kuleshov/nanoscope
github

kuleshov

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Metagenomic analysis pipeline aimed at synthetic long reads

More Repositories

1

audio-super-res

Audio super resolution using neural networks
Python
1,179
star
2

teaching-material

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Jupyter Notebook
1,096
star
3

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)
Jupyter Notebook
870
star
4

minillm

MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUs
Python
842
star
5

cornell-cs5785-2023-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2023)
Jupyter Notebook
169
star
6

tf-wgan

Wasserstein DCGAN in Tensorflow/Keras
Python
94
star
7

gwaskb

Machine-curated database of genetic disease and genome-wide association studies
Jupyter Notebook
55
star
8

tensor-factorization

Tensor Factorization via Matrix Factorization
MATLAB
33
star
9

cs228-notes

Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
CSS
30
star
10

online-learning

A few basic online learning algorithms
Python
25
star
11

deep-learning-models

Implementations of popular deep learning models in Theano+Lasagne
Python
24
star
12

architect

Scaffolding genomes using synthetic long read clouds
Python
20
star
13

deep-hybrid-models

Deep hybrid models: bridging discriminative and generative approaches https://cs.stanford.edu/~ermon/papers/uai2017_cr.pdf
Python
17
star
14

neural-variational-inference

Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf
Python
17
star
15

generalized-rayleigh-quotient

Fast algorithms for sparse principal component analysis
MATLAB
16
star
16

ProbHap

Probabilistic single-individual haplotyping
Python
9
star
17

prism

Statistical phasing software for long read data
Python
5
star
18

convolutional-draw

Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)
Python
5
star
19

lens

Variant calling and haplotyping algorithm optimized for synthetic long reads
Python
2
star
20

dotfiles

Shell
1
star
21

scripts

Various short scripts I wrote for my work
Python
1
star
22

pixelcnn-pp-experiments

Python
1
star