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audio-super-res
Audio super resolution using neural networksteaching-material
Teaching materials for the machine learning and deep learning classes at Stanford and Cornellcornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)minillm
MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUscornell-cs5785-2023-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2023)tf-wgan
Wasserstein DCGAN in Tensorflow/Kerasgwaskb
Machine-curated database of genetic disease and genome-wide association studiestensor-factorization
Tensor Factorization via Matrix Factorizationcs228-notes
Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)online-learning
A few basic online learning algorithmsdeep-learning-models
Implementations of popular deep learning models in Theano+Lasagnearchitect
Scaffolding genomes using synthetic long read cloudsdeep-hybrid-models
Deep hybrid models: bridging discriminative and generative approaches https://cs.stanford.edu/~ermon/papers/uai2017_cr.pdfneural-variational-inference
Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdfgeneralized-rayleigh-quotient
Fast algorithms for sparse principal component analysisProbHap
Probabilistic single-individual haplotypingprism
Statistical phasing software for long read dataconvolutional-draw
Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)lens
Variant calling and haplotyping algorithm optimized for synthetic long readsnanoscope
Metagenomic analysis pipeline aimed at synthetic long readsscripts
Various short scripts I wrote for my workpixelcnn-pp-experiments
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