sisaman

pympress

Pympress is a simple yet powerful PDF reader designed for dual-screen presentations

anonymous_github

Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

graph-data-augmentation-papers

A curated list of graph data augmentation papers.

meilisearch

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

FLamby

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

PytorchGeometricTutorial

Pytorch Geometric Tutorials

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

instruct-pix2pix

rich-argparse

A rich help formatter for argparse

dataloader

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

kitty

Cross-platform, fast, feature-rich, GPU based terminal

glances

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

flax

Flax is a neural network library for JAX that is designed for flexibility.

he-toolkit

The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological innovation to users. The toolkit has been designed with usability in mind and to make it easier for users to evaluate and deploy homomorphic encryption technology on the Intel platforms.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

prv_accountant

A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.

neural-tangents

Fast and Easy Infinite Neural Networks in Python

jupyterlab-lsp

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

fairlearn

A Python package to assess and improve fairness of machine learning models.

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

typer

Typer, build great CLIs. Easy to code. Based on Python type hints.

ideas

Easy creation of custom import hooks to experiment on alternatives to Python's syntax; see https://aroberge.github.io/ideas/docs/html/

ssh_config

SSH Client config file manager