Compiling ML models to C for fun
ML models can be compiled to graphs, which can be traversed to perform forward and backward passes. This approach can improve performance and make it easier to debug ML models.
https://bernsteinbear.com/blog/compiling-ml-models/
ML models can be compiled to graphs, which can be traversed to perform forward and backward passes. This approach can improve performance and make it easier to debug ML models.
https://bernsteinbear.com/blog/compiling-ml-models/
Max Bernstein
Compiling ML models to C for fun
We make micrograd fly with a little compiler magic. In this post, we’ll write a ML compiler from scratch.
Temporian
Temporian is a Python library for feature engineering and data augmentation of temporal data (e.g. time-series, transactions) in machine learning applications.
https://github.com/google/temporian
Temporian is a Python library for feature engineering and data augmentation of temporal data (e.g. time-series, transactions) in machine learning applications.
https://github.com/google/temporian
GitHub
GitHub - google/temporian: Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data…
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖 - google/temporian
Simulate the Monty Hall problem in Python
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
https://www.dataschool.io/python-probability-simulation/
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
https://www.dataschool.io/python-probability-simulation/
Data School
Simulate the Monty Hall problem in Python 🐐🚘🐐
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
PyLLMCore
A pythonic library providing light-weighted interface with LLMs
https://github.com/paschembri/py-llm-core
A pythonic library providing light-weighted interface with LLMs
https://github.com/paschembri/py-llm-core
GitHub
GitHub - advanced-stack/py-llm-core: A pythonic library providing light-weighted interface with LLMs
A pythonic library providing light-weighted interface with LLMs - advanced-stack/py-llm-core
KillianLucas / open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
https://github.com/KillianLucas/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
https://github.com/KillianLucas/open-interpreter
GitHub
GitHub - openinterpreter/open-interpreter: A natural language interface for computers
A natural language interface for computers. Contribute to openinterpreter/open-interpreter development by creating an account on GitHub.
Medical_Intake
Automated pipeline for medical intake, diagnosis, tests, etc.
https://github.com/daveshap/Medical_Intake
Automated pipeline for medical intake, diagnosis, tests, etc.
https://github.com/daveshap/Medical_Intake
GitHub
GitHub - daveshap/Medical_Intake: Automated pipeline for medical intake, diagnosis, tests, etc.
Automated pipeline for medical intake, diagnosis, tests, etc. - daveshap/Medical_Intake
Building A RisingWave Connector for Django ORM
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave.
https://bas.codes/posts/django-risingwave
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave.
https://bas.codes/posts/django-risingwave
Building A RisingWave Connector for Django ORM - Bas codes
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave
rustworkx
A high performance Python graph library implemented in Rust.
https://github.com/Qiskit/rustworkx
A high performance Python graph library implemented in Rust.
https://github.com/Qiskit/rustworkx
GitHub
GitHub - Qiskit/rustworkx: A high performance Python graph library implemented in Rust.
A high performance Python graph library implemented in Rust. - Qiskit/rustworkx
OpenBMB / ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
https://github.com/OpenBMB/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
https://github.com/OpenBMB/ChatDev
GitHub
GitHub - OpenBMB/ChatDev: Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration) - OpenBMB/ChatDev
Keep content managers’ Django admin access up-to-date with role-based permissions
https://406.ch/writing/keep-content-managers-admin-access-up-to-date-with-role-based-permissions/
https://406.ch/writing/keep-content-managers-admin-access-up-to-date-with-role-based-permissions/
PyMilo
PyMilo provides a way to export pre-trained machine learning models. This makes it possible to use the models in other environments, transfer them across different platforms, and share them with others.
https://github.com/openscilab/pymilo
PyMilo provides a way to export pre-trained machine learning models. This makes it possible to use the models in other environments, transfer them across different platforms, and share them with others.
https://github.com/openscilab/pymilo
GitHub
GitHub - openscilab/pymilo: PyMilo: Python for ML I/O
PyMilo: Python for ML I/O. Contribute to openscilab/pymilo development by creating an account on GitHub.
Asyncio Coroutines Faster Than Threads!?
In this tutorial, you will discover whether coroutines really are faster than threads, or not, given a suite of benchmarks.
https://superfastpython.com/asyncio-coroutines-faster-than-threads/
In this tutorial, you will discover whether coroutines really are faster than threads, or not, given a suite of benchmarks.
https://superfastpython.com/asyncio-coroutines-faster-than-threads/
Super Fast Python
Asyncio Coroutines Faster Than Threads!? - Super Fast Python
You can benchmark the performance of coroutines, threads, and processes on a suite of (simulated) common tasks. This is helpful to explore a refrain that “coroutines are faster than threads“, and the sometimes opposite refrain “threads are faster than coroutines“.…