Dataverse
The Universe of Data. All about data, data science, and data engineering.
https://github.com/UpstageAI/dataverse
The Universe of Data. All about data, data science, and data engineering.
https://github.com/UpstageAI/dataverse
GitHub
GitHub - UpstageAI/dataverse: The Universe of Data. All about data, data science, and data engineering
The Universe of Data. All about data, data science, and data engineering - UpstageAI/dataverse
Why You Should Use Pydantic in 2024
In this updated Pydantic tutorial, I’ll cover all the new features and how they can benefit your projects. Despite Python's dynamic type system being user-friendly, it's not without its data handling issues. That's where Pydantic comes in, providing the essential structure and validation for seamless data management.
https://www.youtube.com/watch?v=502XOB0u8OY
In this updated Pydantic tutorial, I’ll cover all the new features and how they can benefit your projects. Despite Python's dynamic type system being user-friendly, it's not without its data handling issues. That's where Pydantic comes in, providing the essential structure and validation for seamless data management.
https://www.youtube.com/watch?v=502XOB0u8OY
YouTube
Why You Should Use Pydantic in 2024 | Tutorial
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this updated Pydantic tutorial, I’ll cover all the new features and how they can benefit your projects. Despite Python's dynamic type system being user-friendly, it's not…
In this updated Pydantic tutorial, I’ll cover all the new features and how they can benefit your projects. Despite Python's dynamic type system being user-friendly, it's not…
Go, Python, Rust, and production AI applications
https://ajmani.net/2024/03/11/go-python-rust-and-production-ai-applications/
https://ajmani.net/2024/03/11/go-python-rust-and-production-ai-applications/
Sameer Ajmani
Go, Python, Rust, and production AI applications
In this article, I’ll talk about Go, Python, and Rust, and each language’s role in building AI-powered applications. Python was the first programming language I ever loved, and Go was the sec…
Guide to Time-Series Analysis in Python
A look at why Python is a great language for time-series analysis. Plus, tips for getting started today.
https://www.timescale.com/blog/how-to-work-with-time-series-in-python/
A look at why Python is a great language for time-series analysis. Plus, tips for getting started today.
https://www.timescale.com/blog/how-to-work-with-time-series-in-python/
Timescale Blog
Guide to Time-Series Analysis in Python
A look at why Python is a great language for time-series analysis. Plus, tips for getting started today.
python-docstring-highlighter
Syntax highlighting for Python Docstring in VSCode.
https://github.com/rodolphebarbanneau/python-docstring-highlighter
Syntax highlighting for Python Docstring in VSCode.
https://github.com/rodolphebarbanneau/python-docstring-highlighter
GitHub
GitHub - rodolphebarbanneau/python-docstring-highlighter: Syntax highlighting for Python Docstring in VSCode.
Syntax highlighting for Python Docstring in VSCode. - rodolphebarbanneau/python-docstring-highlighter
3DTopia / LGM
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
https://github.com/3DTopia/LGM
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
https://github.com/3DTopia/LGM
GitHub
GitHub - 3DTopia/LGM: [ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation. - 3DTopia/LGM
facebookresearch / jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
https://github.com/facebookresearch/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
https://github.com/facebookresearch/jepa
GitHub
GitHub - facebookresearch/jepa: PyTorch code and models for V-JEPA self-supervised learning from video.
PyTorch code and models for V-JEPA self-supervised learning from video. - facebookresearch/jepa
Relieving your Python packaging pain
An opinionated take for bootstrapping Python
https://www.bitecode.dev/p/relieving-your-python-packaging-pain
An opinionated take for bootstrapping Python
https://www.bitecode.dev/p/relieving-your-python-packaging-pain
www.bitecode.dev
Relieving your Python packaging pain
60% of the time, it works every time
👍1
LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models.
https://github.com/albertan017/LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models.
https://github.com/albertan017/LLM4Decompile
GitHub
GitHub - albertan017/LLM4Decompile: Reverse Engineering: Decompiling Binary Code with Large Language Models
Reverse Engineering: Decompiling Binary Code with Large Language Models - albertan017/LLM4Decompile
Diffusion models from scratch, from a new theoretical perspective
The article provides insights into interpreting and enhancing diffusion models using the Euclidean distance function, offering a detailed exploration of diffusion models and their applications. It focuses on improving diffusion models through gradient estimation, efficient sampling techniques, and visualizing the impact of momentum terms on text-to-image generation.
https://www.chenyang.co/diffusion.html
The article provides insights into interpreting and enhancing diffusion models using the Euclidean distance function, offering a detailed exploration of diffusion models and their applications. It focuses on improving diffusion models through gradient estimation, efficient sampling techniques, and visualizing the impact of momentum terms on text-to-image generation.
https://www.chenyang.co/diffusion.html
www.chenyang.co
Diffusion models from scratch
This tutorial aims to give a gentle introduction to diffusion models, with a running example to illustrate how to build, train and sample from a simple diffusion model from scratch.
Every dunder method in Python
An explanation of all of Pytho's 100+ dunder methods and 50+ dunder attributes, including a summary of each one.
https://www.pythonmorsels.com/every-dunder-method/
An explanation of all of Pytho's 100+ dunder methods and 50+ dunder attributes, including a summary of each one.
https://www.pythonmorsels.com/every-dunder-method/
Pythonmorsels
Every dunder method in Python
An explanation of all of Python's 100+ dunder methods and 50+ dunder attributes, including a summary of each one.
Vchitect / Latte
Latte: Latent Diffusion Transformer for Video Generation.
https://github.com/Vchitect/Latte
Latte: Latent Diffusion Transformer for Video Generation.
https://github.com/Vchitect/Latte
GitHub
GitHub - Vchitect/Latte: [TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.
[TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation. - GitHub - Vchitect/Latte: [TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.