Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Deep Learning for Lung Cancer Risk Prediction using LDCT

ML models and internal tensors 3D visualizer

Transforms PDF, Documents and Images into Enriched Structured Data

A CLI-tool to diff Keepass (.kdbx) files. Useful, if syncing with Dropbox or NextCloud and getting multiple files due to conflicts.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks

⏰ AI conference deadline countdowns

The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020) by Junhyun Nam et al.

Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

Bias Auditing & Fair ML Toolkit

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

A topic-centric list of HQ open datasets.

Most popular metrics used to evaluate object detection algorithms.

Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Deep Residual Networks with 1K Layers

Create beautiful diagrams just by typing notation in plain text.

A few demos showing how to estimate projects using Monte Carlo simulations.

Manipulation and analysis of geometric objects