智能检索张维为表情包
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Updated
Mar 11, 2025 - Python
智能检索张维为表情包
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.
Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"
Convolution Neural Network for classification of semantic relations in a sentence
A simple python tool for embedding comparison
word embedding resources for sentiment classification
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.
A Forum-based Chatbot for Parents of Autistic Children, built using Word and Sentence Embeddings.
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.
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
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.
My master project at UofL: End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
Panama Papers analysis using Graph Analytics and Embeddings
Modern Code Editor with ai assistant with multiple options. Currently Support C language. Using a C Programming Book for knowledge
Repository for the paper "RDFsim: Similarity-Based Browsing over DBpedia using Embeddings", containing the current version of RDFsim which is available through https://demos.isl.ics.forth.gr/RDFsim/ .
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