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In this deeply informative video, Jeremy Howard, co-founder of fast.ai and creator of the ULMFiT approach on which all modern language models (LMs) are based, takes...
The first part of the course offers a comprehensive overview of the fundamental model theory and its application to practical projects using LangChain and Deep Lake.
The open-source code of Queryable, an iOS app, utilizes the CLIP model to conduct offline searches in the Photos album. Unlike the object recognition-based search feature built into...
The course can be studied on the official website, but it can also be studied as a Youtube playlist with a length of 79 videos.
SuperImage is a neural network based image upscaling application for Android built with the MNN deep learning framework and Real-ESRGAN. The input image is processed in tiles on the...
Run Stable Diffusion on Apple Silicon with Core ML This repository comprises: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing...
Overall, this is a very interesting course that offers a fresh perspective on machine learning from the inside.
Maple Diffusion runs Stable Diffusion models locally on macOS / iOS devices, in Swift, using the MPSGraph framework (not Python). Maple Diffusion should be capable of generating a...
TL;DR: Win up to $100,000 for finding an important task where larger language models do worse. Submissions due August 27, 2022 (Round 1) and October 27,...
This is for someone who worked on a few ML projects and want to apply to ML Engineer positions without much of professional ML experience.
PostgresML is an end-to-end machine learning system. It enables you to train models and make online predictions using only SQL, without your data ever leaving your...
The new laptop combines hardware from Razer with Lambda’s deep learning software.
I show you how to build and deploy a machine learning web app using Python and Flask.
friendly Learn-to-Rank engine
In this video, I explain how I used Unity to create a natural selection simulator.
This project will utilize deep learning and image segmentation, techniques typically used in autonomous vehicles and computer vision tasks.
