deniederhut
data science @novilabs | ml research @adversarial-designs | bad poetry everywhere | he/him
@novilabs
deniederhut's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
keras-team/keras
Deep Learning for humans
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
jgm/pandoc
Universal markup converter
pure-css/pure
A set of small, responsive CSS modules that you can use in every web project.
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
ipfs/kubo
An IPFS implementation in Go
scala/scala
Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
pallets/jinja
A very fast and expressive template engine.
scikit-image/scikit-image
Image processing in Python
get-alex/alex
Catch insensitive, inconsiderate writing
andresriancho/w3af
w3af: web application attack and audit framework, the open source web vulnerability scanner.
praw-dev/praw
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
allenai/scispacy
A full spaCy pipeline and models for scientific/biomedical documents.
neubig/nn4nlp-code
Code Samples from Neural Networks for NLP
joealcorn/laboratory
Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
BIDData/BIDMach
CPU and GPU-accelerated Machine Learning Library
dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
dexy/dexy
benathi/word2gm
Word to Gaussian Mixture Model
sfu-discourse-lab/SOCC
SFU Opinion and Comments Corpus
Artash-N/Ariel-Machine-Learning-Training-Module-for-Exoplanets
Create your Machine Learning Neural Network to reduce the noise in exoplanet observations. (Ariel Telescope Data Simulation)
Garrafao/MetaphoricChange
Data and code for the experiments in: "German in Flux: Detecting Metaphoric Change via Word Entropy". Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde and Daniel Hole. CoNLL 2017.
mapmeld/code-adversary
Deception and bias-detection code for code LLMs