kudkudak

autoencoder-demo

Theano autoencoder demo for SeMPowisko 2014

common-sense-prediction

Common sense prediction using DL.

dnn_sharpest_directions

Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019

dotfiles

Configuration files

Growing-Neural-Gas

Online, efficient GNG R package in C++

kudkudak.github.io

Personal website

learning-wordnet

Learning wordnet using tensor neural network

python-for-data-processing

Lab for Jagiellonian University course

sfi2016-ml-workshop

Repository for workshops held @ SFI 2016

word-embeddings-benchmarks

Package for evaluating word embeddings

kudkudak/word-embeddings-benchmarks

Package for evaluating word embeddings

kudkudak/Growing-Neural-Gas

Online, efficient GNG R package in C++

kudkudak/learning-wordnet

Learning wordnet using tensor neural network

kudkudak/dnn_sharpest_directions

Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019

kudkudak/python-for-data-processing

Lab for Jagiellonian University course

kudkudak/common-sense-prediction

Common sense prediction using DL.

kudkudak/dotfiles

Configuration files

kudkudak/kudkudak.github.io

Personal website

kudkudak/sfi2016-ml-workshop

Repository for workshops held @ SFI 2016

kudkudak/compound-activity-prediction

Code for TFML 2015 conference paper

kudkudak/python-ai-samples

Python AI/NLP samples

kudkudak/r2-learner

Code supporting "On certain limitations of Recursive Representation Models" paper

kudkudak/m1wrapper-python

Molecule One API Wrapper

kudkudak/MAT

The official implementation of the Molecule Attention Transformer.

kudkudak/bert

TensorFlow code and pre-trained models for BERT

kudkudak/buildbot_travis

Adaptors to make Buildbot more like travis

kudkudak/cleverhans

A library for benchmarking vulnerability to adversarial examples

kudkudak/dogs-vs-cats

Repository for the IFT6266 course, winter 2015

kudkudak/edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

kudkudak/keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

kudkudak/l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

kudkudak/megan

Code for "Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits"

kudkudak/mixup-cifar10

mixup: Beyond Empirical Risk Minimization

kudkudak/multiNLI

kudkudak/osprey

osprey is the plumbing for machine learning hyperparameter optimization.

kudkudak/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

kudkudak/sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

kudkudak/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

kudkudak/vs-utils

Virtual screening and cheminformatics utilities

kudkudak/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow