Connor Shorten

Stanford DSPy: The framework for programming—not prompting—foundation models

A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!

Binary Problem of Golden Retrievers vs. Shetland Sheepdogs

Image Recognition classifier between nike and adidas basketball shoes. Dataset is available in the repository.

Content Links for AI Weekly Update Series on Henry AI Labs

Implementing DCGANs to generate 45 x 45 x 3 images of Basketball Shoes. Keras code with Tensorflow Backend

Using Transfer Learning to train a CNN to classify sentiment in images between Positive versus Negative and Highly Positive versus Highly Negative. Python and Keras

MATLAB project, transfer learning w/ alexnet + naive bayes classifier

No description.

Python code to study how HNSW works

AugmentationLab explores the role of Data Augmentation in Robustness, Class Imbalance, Distribution Shift and Generalization.

Slides for ODSC talk - "Vector Search for Data Scientists"

Research in CORD-19 Literature Mining

Viola Jones Face Swap Implementation, Genetic Algorithm for copying Images

Minimal golang implementation of HNSW

Illustration of the benefit of CLIP in the Weaviate + Jina AI Vector Search Stack

Collection of tools to help with implementing language modeling ideas in Keras

Homework Code with Python

Models and examples built with TensorFlow

An Awesome list of curated DSPy resources.

Demo to show how to use ref2vec

Prompting GPT4 to analyze the Weaviate codebase

App for Generative Inference in Weaviate

eCommerce Demo

Collection of things about Causal Inference

PhD Experiments with Generative Teaching Network - Research Code

Using Python Graph Libraries to Visualize User Metric Data

Collection of takeaways from our Winter 201 Cohort as we study MIT's Machine Learning for Healthcare Course on YouTube

Homework Assignments for Intro to Datascience

Benchmarking rapids vs. pandas feature engineering

An extensive and commented list of resources on Late-Interaction Multivector Retrieval.

Personal educational journey.

The codebase for the book "AI-Powered Search" (Manning Publications, 2025)

This is the repo for the survey of LLM4IR.

Python SDK for Modaic

Extend the capabilities of your CrewAI agents with Tools

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Verdict is a library for scaling judge-time compute.

MCP (Model Context Protocol) server for Weaviate Serverless using Weaviate Agents

A collection of MCP servers.

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

This tutorial covers how to deploy a FastAPI application to Kubernetes with Prometheus monitoring and Grafana dashboards.

No description.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

A python native client for easy interaction with a Weaviate instance.

Letta (fka MemGPT) is a framework for creating stateful LLM services.

AdalFlow: The library to build & auto-optimize any LLM task.

🤖 Build AI applications with confidence ✅ DSPy Visualizer ✅ Understand how your users are using your LLM-app ✅ Get a full picture of the quality performance of your LLM-app ✅ Collaborate with your stakeholders in ONE platform ✅ Iterate towards the most valuable & reliable LLM-app.

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

Quick test with the natural questions dataset

Code to generate simulated ANN datasets

Used for BEIR benchmarking

App for Cross Encoder inference

A sandbox repo for grounded question answering with Cohere and Weaviate :) Search

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⚡ Building applications with LLMs through composability ⚡

Implementing Weaviate docs on docusaurus

The inference container for the qna module -- adding onnx runtime

Website for the Weaviate vector search engine

Weaviate vector search engine – examples

Python Implementations of ideas in Generative Data Augmentation

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Tools to study Vector Representations of Datasets from Deep Learning models

H&M Fashion Image similarity search with Weaviate and DocArray

Natural Language to Neural Architecture Code (NL2NAC)

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Deep Learning Applications in Deep Learning Research

Consistency Loss wrappers for training model with Keras

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This repository will contain a benchmark hyperparameter search problem for us to experiment with and compare results.

Library to test Generative models for Data Augmentation!

✍️ A carefully curated list of NLP paper summaries

Extract Made Baskets from Basketball Games

Get the Peak Height from a Dunk Video

Experimenting with Model Distillation

Amazing CIFAR10 speedup on RAPIDS tSNE vs. Sklearn tSNE

Code Repository for "Neuroevolution"

Comparing Dijkstra versus BellmanFord

Reproduction of AutoAugment from Google

Gambler's Ruin Monte Carlo Simulation

Sup Dawg

No description.

React.js Google Maps integration component

A collection of easy-to-understand guides to programming tools