Stars
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Automated nginx proxy for Docker containers using docker-gen
PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most p…
Persepolis is a download manager written in Python.
An offline deep reinforcement learning library
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!
دورهی آمار و احتمال مهندسی، برای دانشجویان
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Self hosted streaming media server. https://docs.streama-project.com/
Kahroba is a programming language for educational purposes written in Go
In this repository i'm going to implement some GANs mostly for educational purposes.
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
🧠 A study guide to learn about Transformers
Practical Data Science Cookbook, Second Edition, published by Packt
Featureable, flexible and powerful react table.
Must-read papers on Natural Language Processing (NLP)
Name Entity Recognition (NER) on the Persian Twitter dataset.
yz-joey / ACLPUB
Forked from acl-org/ACLPUBThe official tool for creating proceedings for conferences of the Association for Computational Linguistics (ACL).
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.