A collection of pre-trained, state-of-the-art models in the ONNX format
- onnx
- models
- download
- pretrained
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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.
Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
[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!
- auto-regressive-model
- diffusion-models
- image-generation
- transformers
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).
TranslatedNotes on data science and collected materials
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
- andrew-ng
- andrew-ng-machine-learning
- coursera
- coursera-assignment
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.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Sample code for Channel 9 Python for Beginners course
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
TranslatedTensorFlow 2 Chinese tutorials, continuously updated (current version: tensorflow2.0), tag: tensorflow 2.0 tutorials
Inpaint anything using Segment Anything and inpainting models.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
- pytorch
- pytorch-lightning
- stable-diffusion
- text-to-image
TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!
Sweep: AI coding assistant for JetBrains
- ai
- code-assistant
- developer-tools
- github-app
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 👇🏼
An annotated implementation of the Transformer paper.
- annotated
- notebook
- python
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Using Low-rank adaptation to quickly fine-tune diffusion models.
- diffusion
- lora
- stable-diffusion
- dreambooth
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
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.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)