🤘 awesome-semantic-segmentation

🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

Building a modern functional compiler from first principles. (http://dev.stephendiehl.com/fun/)

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Klipse is a Javacript plugin for embedding interactive code snippets in tech blogs. A simple client-side code evaluator pluggable on any web page: clojure, ruby, javascript, python, scheme, es2017, jsx, brainfuck, c++, reagent, lua, ocaml, reasonml, prolog, common lisp

Arbitrary expression evaluation for golang

Python package for the evaluation of odometry and SLAM

Multi-class confusion matrix library in Python

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

Short and sweet LISP editing

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

FuzzBench - Fuzzer benchmarking as a service.

Python implementation of the IOU Tracker

XAI - An eXplainability toolbox for machine learning

TCExam is a CBA (Computer-Based Assessment) system (e-exam, CBT - Computer Based Testing) for universities, schools and companies, that enables educators and trainers to author, schedule, deliver, and report on surveys, quizzes, tests and exams.

Visual Object Tracking (VOT) challenge evaluation toolkit

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

A collection of datasets that pair questions with SQL queries.

C# Eval Expression | Evaluate, Compile, and Execute C# code and expression at runtime.

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

Expression evaluation in golang

Python Single Object Tracking Evaluation

Simple Safe Sandboxed Extensible Expression Evaluator for Python

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Word Embeddings for Information Retrieval

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.