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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 readsdotfiles
pixelcnn-pp-experiments
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