Pinned Repositories
backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
class-imbalance-sgd-adam
dataset-downloader
fast-individual-gradients-with-autodiff
kmer_solver_comparison
latex-to-utf8
Write UTF-8 math with Latex syntax
limitations-empirical-fisher
Limitations of the Empirical Fisher Approximation
liveplot
noise-sgd-adam-sign
python-lib-template
fKunstner's Repositories
fKunstner/limitations-empirical-fisher
Limitations of the Empirical Fisher Approximation
fKunstner/fast-individual-gradients-with-autodiff
fKunstner/latex-to-utf8
Write UTF-8 math with Latex syntax
fKunstner/noise-sgd-adam-sign
fKunstner/dataset-downloader
fKunstner/python-lib-template
fKunstner/class-imbalance-sgd-adam
fKunstner/kmer_solver_comparison
fKunstner/liveplot
fKunstner/multidimensional-backtracking
fKunstner/artemis
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
fKunstner/choix
Inference algorithms for models based on Luce's choice axiom
fKunstner/gregdeon.github.io
Source code for my personal website
fKunstner/haven-ai
To Run, Manage and Visualize Large Scale Experiments
fKunstner/kmers
k-mer based genomics
fKunstner/ML_course
Machine Learning Course Fall 2016 (a.k.a. PCML)
fKunstner/noise-adam-sgd-sign
fKunstner/noise-adam-sgd-signdescent
fKunstner/optexp
fKunstner/pcml-cheatsheet
Latex cheat sheet for the EPFL (http://epfl.ch/) course "Pattern Matching and Machine Learning", Fall 2014.
fKunstner/plotting
fKunstner/pytest-optional-tests
Easy declaration of optional tests (i.e., not run by default)
fKunstner/qparse
fKunstner/quickbench
Some helper functions for benchmarking
fKunstner/snippets
Snippets I often need, but not often enough that I can remember them.