kudkudak

word-embeddings-benchmarks

Package for evaluating word embeddings

Growing-Neural-Gas

Online, efficient GNG R package in C++

learning-wordnet

Learning wordnet using tensor neural network

dnn_sharpest_directions

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

python-for-data-processing

Lab for Jagiellonian University course

common-sense-prediction

Common sense prediction using DL.

dotfiles

Configuration files

kudkudak.github.io

Personal website

sfi2016-ml-workshop

Repository for workshops held @ SFI 2016

compound-activity-prediction

Code for TFML 2015 conference paper

python-ai-samples

Python AI/NLP samples

r2-learner

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

m1wrapper-python

Molecule One API Wrapper

MAT

The official implementation of the Molecule Attention Transformer.

bert

TensorFlow code and pre-trained models for BERT

buildbot_travis

Adaptors to make Buildbot more like travis

cleverhans

A library for benchmarking vulnerability to adversarial examples

dogs-vs-cats

Repository for the IFT6266 course, winter 2015

edward

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

keras

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

l4-optimizer

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

megan

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

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

multiNLI

osprey

osprey is the plumbing for machine learning hyperparameter optimization.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sacred

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

transformers

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

vs-utils

Virtual screening and cheminformatics utilities

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