Complete-Life-Cycle-of-a-Data-Science-Project
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Updated
Jun 7, 2024
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
snippets of helpful code
Classify real disaster tweets using different sequence models like LSTM, Bi-directional LSTM with attention, and transformers (BERT) with best accuracy of 84%
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.
Predict sentiment of text as positive or negative using Python's NLTK and scikit-learn.
Building blocks for multimedia media projects
PyTorch implementations for several NLP classical models, following Rutgers CS533 course.
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.
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