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MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
The fastai book, published as Jupyter Notebooks
A cloud-based code editing environment with an AI copilot and real-time collaboration
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
DSPy: The framework for programming—not prompting—foundation models
Your go-to 💡 for running 🏃♂️ code snippets directly on GitHub Gist!
Querypls🛠️: WebApp that Simplify SQL with Your Prompts. Transforming questions into SQL commands effortlessly.
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
quantify the size and diversity of the commons--the collection of works that are openly licensed or in the public domain
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Display images in the terminal with python
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Drone Based System for Plant Monitoring and Data Collection using Computer Vision. (Yolov4, DeepSORT, OpenCV)
A data wrangling and modeling tool.
This is a computer vision project aim to detect different African hairstyles
Control DJI Tello 🛸 using hand gesture recognition on drone`s camera video-stream. Feel free to contribute!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Fourth iteration of my personal website built with Gatsby