tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems

NLP Tensorflow Tutorials

Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.

This repository offers NLP resources & tutorials using keras/tensorflow. Designed for University of Salford's NLP module students, but open for all to learn NLP topics like text classification, language modeling, and sentiment analysis.

Code from 6.806 TensorFlow Tutorial Presentation

Tutorials for using Tensorflow and Keras for NLP

NLP tutorials I have written using TensorFlow

Welcome to my Transformers tutorial series! In this series, I'll be diving into the powerful Transformer architecture and its implementation in TensorFlow and PyTorch. Whether you're an experienced NLP practitioner or just starting out, I hope you'll find the series informative and engaging.

A curated set of deep learning projects using TensorFlow/Keras, covering vision, NLP, audio, GANs and transfer learning, with practical examples and tutorials.

Modulabs NLP & Sequential Modeling - Lectures with Python/Tensorflow Tutorials

DL-NLP is a tutorial for NLP(Natural Language Processing) based on DL(Deep Learning) by using Pytorch and Tensorflow.

A series tutorial on TensorFlow 2.0 which covers both NLP and CV area.

📚 Hands-On Machine Learning Portfolio — Full implementation of Aurélien Géron’s book + Bahrak’s tutorials. Covers Scikit-Learn, TensorFlow/Keras, CNNs, RNNs, NLP, GANs, RL (DQN), clustering, PCA, and real-world projects like fraud detection, Bach generation, and Lunar Lander. Clean, production-ready code with saved models & TensorBoard.

딥 러닝을 이용한 자연어 처리 입문

tensorflow-nlp-tutorial-review

캡스톤 프로젝트 AI를 구현. 참고: https://github.com/ukairia777/tensorflow-nlp-tutorial

change the code for tensorflow 2 codes are from https://github.com/graykode/nlp-tutorial

Transformer architecture made in tensorflow to be applied towards an NLP problem: language translation. Made following a guide online (https://www.tensorflow.org/text/tutorials/transformer) while adding additional documentation throughout the notebook for beginners to understand these advanced concepts.

딥러닝을 이용한 NLP 입문

Completed tutorials from tensorflow.

https://wikidocs.net/book/2155 를 따라하는 개인 딥러닝 공부기록용

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