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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
10 Weeks, 20 Lessons, Data Science for All!
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Instruct-tune LLaMA on consumer hardware
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Natural Language Processing Tutorial for Deep Learning Researchers
A multi-voice TTS system trained with an emphasis on quality
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
Your new Mentor for Data Science E-Learning.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
YSDA course in Natural Language Processing
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Flax is a neural network library for JAX that is designed for flexibility.
Collection of notebooks about quantitative finance, with interactive python code.
A course on aligning smol models.