iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Conductor is an event driven orchestration platform

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

12 Weeks, 24 Lessons, AI for All!

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

🙌 OpenHands: Code Less, Make More

🦜🔗 Build context-aware reasoning applications

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

A Langchain app that allows you to chat with multiple PDFs

Deployment of PyTorch chatbot with Flask

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Implementation of a Siamese Neural Network (in Tensorflow) that defines a similarity score between a pair of person images.

GUI for marking bounded boxes of objects in images for training neural network YOLO

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

Protocol Buffers - Google's data interchange format

Models and examples built with TensorFlow

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors