209 Open source projects that are alternatives of or similar to ALPS_2021

Collection of NLP model explanations and accompanying analysis tools

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

A collection of infrastructure and tools for research in neural network interpretability.

Keras wrapper that autosaves what ModelCheckpoint cannot.

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Run Minecraft Server on Google Colab.

Pytorch Convolutional Neural Net and GAN based video coloriser that converts black and white video to colorised video.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

A lightweight implementation of removal-based explanations for ML models.

For calculating global feature importance using Shapley values.

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Data generator for Arena - interactive XAI dashboard

Fit interpretable models. Explain blackbox machine learning.

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

A game theoretic approach to explain the output of any machine learning model.

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

MiXLab is a mix of multiple amazing Colab Notebooks found on the internet such as rcloneLab, RLabClone, Torrent to Google Drive Downloader and some more.

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Swift kernel for Google Colaboratory

A course on Optimization Methods

Create SSH tunel to a running colab notebook

Picatrix is a library designed to help security analysts in a notebook environment, such as colab or jupyter.

A Deep Learning based project for creating line art portraits.

Visualization tool for Graph Neural Networks

Edge Computer Vision Course

Reinforcement Learning algorithm's using google-colab

A Chrome extension and Firefox AddOn that automatically reconnects your Colab's ongoing session without a manual click. It also provides a timer for getting notified after finishing a task.

Python notebooks for Numerical Analysis

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

eXercise Sheets IMproved

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Examples and exercises for Practices of the Python Pro from Manning Books 🐍📘

Exercises for the Analysis of Knowledge Graphs

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits

Solutions of the various test exams of the Information Retrieval course

Example based guide to mastering GNU grep and ripgrep

Lunatech course - "Moving forward from Scala 2 to Scala 3"

Google Colab Tutorial

This repository provides everything you need to get started with Python for (social science) research.

Samples for the openSAP course "Building Apps with the ABAP RESTful Application Programming model (RAP)."

Notebooks for Fastai Viusal Guide

Задания и примеры из книги "Python для сетевых инженеров"

🔬 Where students practice and receive automated and human feedback

Mixed Video and Image Manipulation Program

Rust in Action book exercises

1000+ Hand-Crafted Go Examples, Exercises, and Quizzes

NeurIPS 2018. Linear-time model comparison tests.

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).