Pinned Repositories
auto-bench
A flexible library for benchmarking LLMs on HF Inference Endpoints
cookbook
Open-source AI cookbook
data-science-resources
A list of useful blog posts, papers, and websites for all things data science
deeplearning.ai
These notes were taken from https://github.com/mbadry1/DeepLearning.ai-Summary and augmented with my personal annotations
hf-notebooks
Adhoc modeling notebooks for transformer experiments
phish-setlist-modeling
A toolkit for machine learning approaches to predict which song Phish will play next.
pyphishnet
Simple Python Client library to interface with Phish.net v3 API
CML_AMP_Continuous_Model_Monitoring
Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards
CML_AMP_Intelligent_Writing_Assistance
CML_AMP_Intelligent_Writing_Assistance
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.
andrewrreed's Repositories
andrewrreed/hf-notebooks
Adhoc modeling notebooks for transformer experiments
andrewrreed/data-science-resources
A list of useful blog posts, papers, and websites for all things data science
andrewrreed/auto-bench
A flexible library for benchmarking LLMs on HF Inference Endpoints
andrewrreed/cookbook
Open-source AI cookbook
andrewrreed/CML_AMP_Active_Learning
An interactive, visual workflow of active learning using the MNIST dataset.
andrewrreed/CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
andrewrreed/CML_AMP_APIv2
Demonstration of how to use the CML API to interact with CML.
andrewrreed/CML_AMP_AutoML_with_TPOT
andrewrreed/CML_AMP_Canceled_Flight_Prediction
Perform analytics on a large airline dataset with Spark and build an XGBoost model to predict flight cancellations.
andrewrreed/CML_AMP_Churn_Prediction
Build an scikit-learn model to predict churn using customer telco data.
andrewrreed/CML_AMP_Continuous_Model_Monitoring
Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards
andrewrreed/CML_AMP_Explainability_LIME_SHAP
Learn how to explain ML models using LIME and SHAP.
andrewrreed/CML_AMP_Few-Shot_Text_Classification
Perform topic classification on news articles in several limited-labeled data regimes.
andrewrreed/CML_AMP_Image_Analysis
CML_AMP_Image_Analysis
andrewrreed/CML_AMP_MLFlow_Tracking
Experiment tracking with MLFlow.
andrewrreed/CML_AMP_NeuralQA
CML_AMP_NeuralQA
andrewrreed/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.
andrewrreed/CML_AMP_Question_Answering
Explore an emerging NLP capability with WikiQA, an automated question answering system built on top of Wikipedia.
andrewrreed/CML_AMP_SpaCy_Entity_Extraction
A Jupyter notebook demonstrating entity extraction on headlines with SpaCy.
andrewrreed/CML_AMP_Streamlit_on_CML
Demonstration of how to use Streamlit as a CML Application.
andrewrreed/CML_AMP_Tensorboard_on_CML
Demonstration of how to use TensorBoard as a CML Application.
andrewrreed/gh-issues-scrape
A simple script for scraping issues from Github repositories
andrewrreed/langchain
⚡ Building applications with LLMs through composability ⚡
andrewrreed/model-recommender
andrewrreed/notebooks
Notebooks using the Hugging Face libraries 🤗
andrewrreed/os-agents-eval
andrewrreed/Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
andrewrreed/smart-brain-api
andrewrreed/smart-brain-ui
andrewrreed/xk6-sse
A k6 extension for Server-Sent Events (SSE)