Model interpretability and understanding for PyTorch

A beautiful, simple, clean, and responsive Jekyll theme for academics

DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding

A toolkit for machine learning from time series

This repository contains the official implementation and resources for the GraphXAIN: Narratives to Explain Graph Neural Networks (Cedro & Martens, 2024) research article.

Leetcode solutions

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

A collection of research materials on explainable AI/ML

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A toolbox to iNNvestigate neural networks' predictions!

Dataset to assess the disentanglement properties of unsupervised learning methods

Distributionally robust neural networks for group shifts

Repository for the CLEVR-Hans dataset

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Source code for Twitter's Recommendation Algorithm

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…