MemeMeow 是一个基于自然语言的表情包检索工具。基于agent自动标注表情包含义,只需描述想要的场景或心情,快速找到合适的表情包。
- Updated
Oct 12, 2026 - Python
MemeMeow 是一个基于自然语言的表情包检索工具。基于agent自动标注表情包含义,只需描述想要的场景或心情,快速找到合适的表情包。
This is a web app that integrates GPT-3 with google searches
Implementation of word2vec in PyTorch
Place2Vec ground truth dataset
Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.
Machine learning pipeline to predict relevant categories based on a product name and product description, using NLP and Deep learning concepts.
Python script demonstrating the process of recovering text from embeddings, highlighting the associated privacy risks and mitigation strategies in dense retrieval systems.
Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"
Convolution Neural Network for classification of semantic relations in a sentence
word embedding resources for sentiment classification
A simple python tool for embedding comparison
Hate speech detection from code-mixed Hindi-English tweets using deep learning models. This project reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. The models result in an improvement of about 12% in F-score over a past work that used statistical classifiers.
Learning Personality is a bachelor internship project that use neural networks to extract, from natural language (in particular reviews), personality traits, through automatic approaches. @unimib17/18.
Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model
A Forum-based Chatbot for Parents of Autistic Children, built using Word and Sentence Embeddings.
This repository features deep learning models implemented with TensorFlow and PyTorch, including FNN, CNN, RNN, LSTM, GAN, Transfer Learning, and Transformer & BERT, GPT Each model is built from scratch with explanations, optimized training, and comparisons between frameworks, offering hands-on experience in understanding core deep learning concept
Panama Papers analysis using Graph Analytics and Embeddings
Modern Local Code Editor with local ai assistant with multiple options. Currently Support C language. Using a C Programming Book for knowledge
Detailed analysis of the research project, carried out during my bachelor internship, entitled "Neural Networks for the Learning of personality traits from Natural Language". @unimib17/18.