A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Example of calling cusolver from python by using pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
LMNN algorithm in tensorflow
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
Jekyll Minima theme with TOC in sidebar
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
My own personal scripts for easy working with the cluster at my work
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Trying to fix the arbitrariness of the variance function in VAEs
Datasets, Transforms and Models specific to Computer Vision