Nicolas Hug

Surprise. A Python scikit for building and analyzing recommender systems

hmmkay. Discrete Hidden Markov Models with Numba

Iterable-Datasets-what-could-go-wrong. HTML

scikit-learn. scikit-learn: machine learning in Python

COMS4995-s20. COMS W4995 Applied Machine Learning - Spring 20

torchtune. A Native-PyTorch Library for LLM Fine-tuning

scipy. Scipy library main repository

matplotlib. matplotlib: plotting with Python

torchvision-extra-decoders. An extension of `torchvision` for decoding AVIF and HEIC images.

numba. NumPy aware dynamic Python compiler using LLVM

flask-restplus. Fully featured framework for fast, easy and documented API development with Flask

phd_thesis. TeX

nicolashug.github.io. My github user page

cython. The most widely used Python to C compiler

dabl. Data Analysis Baseline Library

lerobot. 🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

pytorch.github.io. The website for PyTorch

github_repo_analysis. Python

pres_scipy_2019. HTML

torchcodec_old_fork. PyTorch video decoding

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_sphinx_theme. PyTorch Sphinx Theme

openml-python. Python module to interface with OpenML

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

vision. Datasets, Transforms and Models specific to Computer Vision

bayesian-stats-modelling-tutorial. How to do Bayesian statistical modelling using numpy and PyMC3

numpy. The fundamental package for scientific computing with Python.