A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
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 RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TensorFlow Tutorials with YouTube Videos
Lab Materials for MIT 6.S191: Introduction to Deep Learning
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
Using Low-rank adaptation to quickly fine-tune diffusion models.
Collection of notebooks about quantitative finance, with interactive python code.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
TranslatedAI in Practice - practicalAI, Chinese version
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Official Code for Stable Cascade
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Silero Models: pre-trained text-to-speech models made embarrassingly simple
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Translated【🔞🔞🔞 Contains images not suitable for minors】AI exploration and summary based on my strengths in programming, drawing, and writing: StableDiffusion is a powerful image generation model that can generate new images by evolving an existing image. ChatGPT is a Transformer-based language generation model that can automatically generate suitable articles for an input topic. And Github Copilot is an intelligent programming assistant that can speed up everyday programming activities.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.