Data Visualization and Text Mining course repository: it provides notebook implementation for data analysis and machine learning applied to text content - UNICATT:

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Annotated Notebooks to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.

Deeplearning (pytorch, transformers, GANs, BERT, RNNs)

A companion guide for the blog post series, LangChain Decoded.

This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.

Jupyter notebook code for movie recommendations. Created with using OpenAI's text-embedding-3-small model.

AI 应用示例合集

Exploring Python-based projects

Jupyter notebooks for the short course "Building applications with vector databases"

Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Analytics labs notebooks for Statistics and Business School students

A lightweight self-organizing notebook for your thoughts, powered by embeddings.

Machine Learning, LLM and other Jupyter Notebooks and resources

This repo contains the codes and the notebooks used for the paper "DarkVec: Automatic Analysis of Darknet Traffic with Word Embeddings".

🎬 Welcome to the MovieLens Recommender! This project harnesses the magic of LSTM and embeddings to make movie recommendations. Dive into Jupyter notebooks and train models to make personalized suggestions.

This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.

This repo contains my implementaions of notebooks in TensorFlow (not in Trax which is used in the course) of Natural Language Processing Specialization: Course4 (NLP with Attention) by deeplearning.ai on Coursera

This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".