Stars
Projects & Resources to help you become a better AI Developer.
Turkish Morphological Analysis library
A two-level morphological analyzer for Turkish.
Türkçe Doğal Dil İşleme (NLP) alanındaki kaynakları bir araya getiren bu repoyla, profesyonel yolculuğunuzda sizlere rehberlik etmeyi hedefliyoruz.
A library for feature selection for gradient boosting models using regression on feature Shapley values
Cross-platform, customizable ML solutions for live and streaming media.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Perform data science on data that remains in someone else's server
Python training for business analysts and traders
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Source code for the X Recommendation Algorithm
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
An open-source NLP research library, built on PyTorch.
This repository contains all the Cheat Sheet for Data Science,Python Libraries and Git.
Classical ML equations in Latex, helps paper and blog writing
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.
State-of-the-Art Text Embeddings
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
A fast, robust Python library to check for offensive language in strings.
Retrieve dialogues from Reddit and generate an empathetic conversation dataset.
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.