ml
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
Lab Materials for MIT 6.S191: Introduction to Deep Learning
TensorFlow Basic Tutorial Labs
An OpenAI Gym environment for the Flappy Bird game
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
A latent text-to-image diffusion model
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
In this repository, i will be making some cool projects in NLP from basic to intermediate level.
<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.
🤗 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.
Pretrained models for TensorFlow.js
Text Classification Algorithms: A Survey
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI
Label-Specific Document Representation for Multi-Label Text Classification
Data augmentation for NLP, presented at EMNLP 2019