This is your work, valued

New York, NY

Volodymyr Kuleshov

Elite
@kuleshov
www.cs.cornell.edu/~kuleshov/

audio-super-res. Audio super resolution using neural networks

1.3k

cornell-cs5785-2020-applied-ml. Teaching materials for the applied machine learning course at Cornell Tech (online edition)

1.2k

teaching-material. Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

1.2k

minillm. MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUs

968

cornell-cs5785-2025-applied-ml. Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

534

tf-wgan. Wasserstein DCGAN in Tensorflow/Keras

94

gwaskb. Machine-curated database of genetic disease and genome-wide association studies

57

tensor-factorization. Tensor Factorization via Matrix Factorization

34

cs228-notes. Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)

33

deep-learning-models. Implementations of popular deep learning models in Theano+Lasagne

24

online-learning. A few basic online learning algorithms

24

architect. Scaffolding genomes using synthetic long read clouds

20

generalized-rayleigh-quotient. Fast algorithms for sparse principal component analysis

18

neural-variational-inference. Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf

17

deep-hybrid-models. Deep hybrid models: bridging discriminative and generative approaches https://cs.stanford.edu/~ermon/papers/uai2017_cr.pdf

17

ProbHap. Probabilistic single-individual haplotyping

10

char-mdlm. Character-level masked diffusion language models

7

prism. Statistical phasing software for long read data

5

convolutional-draw. Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)

5

nanoscope. Metagenomic analysis pipeline aimed at synthetic long reads

2

simple-masked-diffusion-language-models. Python

2

lens. Variant calling and haplotyping algorithm optimized for synthetic long reads

2

scripts. Various short scripts I wrote for my work

1

diffusion-llm. Simplified Masked Diffusion Language Model

1

dotfiles. Shell

1

pixelcnn-pp-experiments. Python

1

multivariate-deep-learning. Jupyter Notebook

1