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This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Notes about courses Dive into Deep Learning by Mu Li
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
felixge's notes on the various go profiling methods that are available.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
A Deep Learning based project for creating line art portraits.
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
Optimized Stable Diffusion modified to run on lower GPU VRAM
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Free hands-on digital forensics labs for students and faculty
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..