Andrew Reed's repositories
hf-notebooks
Adhoc modeling notebooks for transformer experiments
data-science-resources
A list of useful blog posts, papers, and websites for all things data science
cookbook
Open-source AI cookbook
CML_AMP_Active_Learning
An interactive, visual workflow of active learning using the MNIST dataset.
CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
CML_AMP_APIv2
Demonstration of how to use the CML API to interact with CML.
CML_AMP_Canceled_Flight_Prediction
Perform analytics on a large airline dataset with Spark and build an XGBoost model to predict flight cancellations.
CML_AMP_Churn_Prediction
Build an scikit-learn model to predict churn using customer telco data.
CML_AMP_Continuous_Model_Monitoring
Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards
CML_AMP_Explainability_LIME_SHAP
Learn how to explain ML models using LIME and SHAP.
CML_AMP_Few-Shot_Text_Classification
Perform topic classification on news articles in several limited-labeled data regimes.
CML_AMP_Image_Analysis
CML_AMP_Image_Analysis
CML_AMP_MLFlow_Tracking
Experiment tracking with MLFlow.
CML_AMP_NeuralQA
CML_AMP_NeuralQA
CML_AMP_Object_Detection_Inference
Interact with a blog-style Streamlit application to visually unpack the inference workflow of a modern, single-stage object detector.
CML_AMP_Question_Answering
Explore an emerging NLP capability with WikiQA, an automated question answering system built on top of Wikipedia.
CML_AMP_SpaCy_Entity_Extraction
A Jupyter notebook demonstrating entity extraction on headlines with SpaCy.
CML_AMP_Streamlit_on_CML
Demonstration of how to use Streamlit as a CML Application.
CML_AMP_Summarize
Automatic text summarization with extractive and abstractive models.
CML_AMP_Tensorboard_on_CML
Demonstration of how to use TensorBoard as a CML Application.
CML_AMP_Train_Gensim_W2V
Demonstration of how to train Gensim's Word2Vec for a non-language use case.
gh-issues-scrape
A simple script for scraping issues from Github repositories
langchain
⚡ Building applications with LLMs through composability ⚡
notebooks
Notebooks using the Hugging Face libraries 🤗
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
train_embeddings_with_gensim
Train Gensim's Word2Vec algorithm to learn item embeddings for downstream tasks such as recommendation systems. Includes techniques for hyperparameter optimization and early stopping.