Complete-Life-Cycle-of-a-Data-Science-Project

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

AI and Memory Wall

reflect's backend - determine intent validity

Machine learning model library implementing Nix ideas for configuration management

An API developed by using the FastAPI library and uses an NLP model to classify the category of the news in the Swahili language.

Python based API server for GPT4ALL with Watchdog

Classify real disaster tweets using different sequence models like LSTM, Bi-directional LSTM with attention, and transformers (BERT) with best accuracy of 84%

snippets of helpful code

llama2-model-downloader is a Python script for effortless and flexible downloading of various Llama2 models from a provided preassigned URL.

Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.

Advanced NLP model implementation in PyTorch featuring transformer architecture, multi-head attention, and comprehensive training pipeline with mixed precision, gradient accumulation, and dynamic learning rate scheduling.

📝 DistilBERT, a lightweight Transformer model from Hugging Face, for various NLP tasks without requiring custom fine-tuning or datasets.

Xandly5 is a lyrics generator powered by Natural Language Processing using the Keras and TensorFlow frameworks.

A comprehensive suite of multilingual NLP tools and models to support translation, transcription, and speech-to-text for underrepresented languages. Powered by AI, designed for impact.

Predict sentiment of text as positive or negative using Python's NLTK and scikit-learn.

Sentiment Analysis using NLP involves analyzing text data to determine the sentiment expressed, such as positive, negative, or neutral. It leverages techniques like tokenization, vectorization, and machine learning models to classify text sentiment.

NLP models

Building blocks for multimedia media projects