HypoFuzz
Open source smart fuzzing for Python's best testing workflow.
https://github.com/Zac-HD/hypofuzz
Open source smart fuzzing for Python's best testing workflow.
https://github.com/Zac-HD/hypofuzz
GitHub
GitHub - Zac-HD/hypofuzz: Adaptive fuzzing of Hypothesis tests
Adaptive fuzzing of Hypothesis tests. Contribute to Zac-HD/hypofuzz development by creating an account on GitHub.
The Many Ways to Deploy a Model
There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example.
https://outerbounds.com/blog/the-many-ways-to-deploy-a-model
There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example.
https://outerbounds.com/blog/the-many-ways-to-deploy-a-model
Outerbounds
The Many Ways to Deploy a Model | Outerbounds
There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example.
Lag-Llama
Towards Foundation Models for Probabilistic Time Series Forecasting.
https://github.com/time-series-foundation-models/lag-llama
Towards Foundation Models for Probabilistic Time Series Forecasting.
https://github.com/time-series-foundation-models/lag-llama
GitHub
GitHub - time-series-foundation-models/lag-llama: Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting - time-series-foundation-models/lag-llama
Visualizing Neural Network Internals
Visualizing some of the internals of a neural network during training and inference.
https://www.youtube.com/watch?v=ChfEO8l-fas
Visualizing some of the internals of a neural network during training and inference.
https://www.youtube.com/watch?v=ChfEO8l-fas
YouTube
Visualizing Neural Network Internals
Visualizing some of the internals of a neural network during training and inference.
Starting and full code: https://github.com/Sentdex/neural-net-internals-visualized
Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.y…
Starting and full code: https://github.com/Sentdex/neural-net-internals-visualized
Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.y…
Summary of Major Changes Between Python Versions
This post is designed to be a quick reference for the major changes introduced with each new version of Python. This can help with taking advantages of using new features as you upgrade your code base, or ensuring that you have the correct guards for compatibility with older versions.
https://www.nicholashairs.com/posts/major-changes-between-python-versions/
This post is designed to be a quick reference for the major changes introduced with each new version of Python. This can help with taking advantages of using new features as you upgrade your code base, or ensuring that you have the correct guards for compatibility with older versions.
https://www.nicholashairs.com/posts/major-changes-between-python-versions/
NicholasHairs.com
Summary of Major Changes Between Python Versions
A quick reference for the major changes introduced with each new version of Python.
netease-youdao / QAnything
Question and Answer based on Anything.
https://github.com/netease-youdao/QAnything
Question and Answer based on Anything.
https://github.com/netease-youdao/QAnything
GitHub
GitHub - netease-youdao/QAnything: Question and Answer based on Anything.
Question and Answer based on Anything. Contribute to netease-youdao/QAnything development by creating an account on GitHub.
Building an LLM from scratch
Learn how to build a modern language model with all the bells and whistles completely from scratch: from vanilla Python to functional coding assistant
https://bclarkson-code.github.io/posts/llm-from-scratch-scalar-autograd/post.html
Learn how to build a modern language model with all the bells and whistles completely from scratch: from vanilla Python to functional coding assistant
https://bclarkson-code.github.io/posts/llm-from-scratch-scalar-autograd/post.html
Gradient Descent into Madness
Gradient Descent into Madness - Building an LLM from scratch
Automatic Differentiation
Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale
Create a serverless API using FastAPI, deployed on AWS App Runner and powered by Neon Postgres.
https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale
Create a serverless API using FastAPI, deployed on AWS App Runner and powered by Neon Postgres.
https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale
Neon
Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - Neon
In this post, we’ll guide you through setting up a scalable serverless API using FastAPI, deployed on AWS App Runner with Neon Postgres as the serverless database.
Algorithmic Art with Python
In this talk we’re going to start from nothing and build out our own tools for making art in Python, no AI needed! We’ll show how Python’s expressiveness allows us to describe graphics elegantly and use that to make some unique art programmatically.
https://www.youtube.com/watch?v=_XeRM-4DZz0
In this talk we’re going to start from nothing and build out our own tools for making art in Python, no AI needed! We’ll show how Python’s expressiveness allows us to describe graphics elegantly and use that to make some unique art programmatically.
https://www.youtube.com/watch?v=_XeRM-4DZz0
YouTube
Algorithmic Art with Python
NOTE: The audio is a bit low. I did my best to boost the volume. Sorry for not dialing this in better during recording. In this talk we’re going to start from nothing and build out our own tools for making art in Python, no AI needed! We’ll show how Python’s…
Streamline-Analyst
An AI agent powered by LLMs that streamlines the entire process of data analysis.
https://github.com/Wilson-ZheLin/Streamline-Analyst
An AI agent powered by LLMs that streamlines the entire process of data analysis.
https://github.com/Wilson-ZheLin/Streamline-Analyst
GitHub
GitHub - Wilson-ZheLin/Streamline-Analyst: An AI agent powered by LLMs that streamlines the entire process of data analysis. 🚀
An AI agent powered by LLMs that streamlines the entire process of data analysis. 🚀 - Wilson-ZheLin/Streamline-Analyst
How to dockerize a Django, Preact, and PostgreSQL Application
Dockerizing your Django application can be intimidating, but the rewards outweigh the risks. In this guide, Charlie Macnamara walks you through the setup process so you can get the most out of your applications.
https://www.honeybadger.io/blog/dockerize-django-preact-postgres
Dockerizing your Django application can be intimidating, but the rewards outweigh the risks. In this guide, Charlie Macnamara walks you through the setup process so you can get the most out of your applications.
https://www.honeybadger.io/blog/dockerize-django-preact-postgres
Honeybadger Developer Blog
How to dockerize a Django, Preact, and PostgreSQL Application
Dockerizing your Django application can be intimidating, but the rewards outweigh the risks. In this guide, Charlie Macnamara walks you through the setup process so you can get the most out of your applications.
Tracing System Calls in Python
The article discusses the author's development of a tool added to Cirron that enables the tracing of system calls made by Python code. It provides an example of tracing the "print" function and explains the tool's implementation using the strace tool for effective analysis. The article also outlines the initial intention to use the ptrace syscall for implementation and the subsequent uti...
https://blog.mattstuchlik.com/2024/02/16/counting-syscalls-in-python.html
The article discusses the author's development of a tool added to Cirron that enables the tracing of system calls made by Python code. It provides an example of tracing the "print" function and explains the tool's implementation using the strace tool for effective analysis. The article also outlines the initial intention to use the ptrace syscall for implementation and the subsequent uti...
https://blog.mattstuchlik.com/2024/02/16/counting-syscalls-in-python.html
Matt Stuchlik
Tracing System Calls in Python
Last time we counted CPU instructions, let’s look at syscalls now!
hustvl / Vim
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
https://github.com/hustvl/Vim
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
https://github.com/hustvl/Vim
GitHub
GitHub - hustvl/Vim: [ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model - hustvl/Vim