SLASH Framework: Experiments - Part 3
Explore experiments in the SLASH framework for neuro-symbolic AI. Gain insights into cutting-edge research combining symbolic methods and deep learning.
Metacognition with EDCR: Error Detection and Correction in Neurosymbolic AI
Explore metacognition and EDCR, a neurosymbolic method for error detection in AI models. Learn about rule learning, intuitions, and applications in few-shot learning.
LangDiversity: Software to Identify LLM Errors - Diversity Measures and Prompt Selection
Explore LangDiversity software to identify LLM errors using diversity measures. Learn implementation, code examples, and prompt selection techniques for improving language model outputs.
Reinforcement Learning with PyReason as a Semantic Proxy
Explore PyReason as a semantic proxy for simulators in reinforcement learning, featuring a technical discussion on its application and recent research findings.
Decision Trees in Neuro-Symbolic AI
Master decision tree algorithms for effective data classification and prediction in machine learning applications.
Reasoning Shortcuts in Neurosymbolic Systems
Explore reasoning shortcuts in neurosymbolic systems, their impact, and mitigation strategies for effective deployment. Gain insights from recent research papers.
Launching Jupyter and Submitting Homework in ME3255 - Lecture 1
Launch Jupyter and learn how to submit HW_01 in Google Classroom for ME3255, covering essential steps for successful assignment completion.
Using Jupyter and Submitting Your First Homework - ME5180
Learn to use Jupyter Notebooks and submit your first homework assignment in this practical guide for ME5180 students.
Functions, Docstrings, and Working in Jupyter - ME3255 Homework 1
Learn to create functions, write effective docstrings, and navigate Jupyter notebooks for efficient coding and documentation in engineering applications.
ME3255: Loading Data into Pandas and Boolean Indexing - Lecture 1
Learn to load data into Pandas, perform boolean indexing, and explore unique operations and color maps in this concise tutorial on data manipulation techniques.
Embrace the Differences: Securing Open Source Ecosystems Where They Are
Explore efforts to fix the libwebp vulnerability in Python packages, examining interactions between security standards and open source ecosystems.
We Make Python Safer Than Ever
Explore efforts to enhance Python's security, including PyPI audits, improved practices, and community involvement. Learn about challenges, progress, and future plans for a safer ecosystem.
Trusted Publishing: Lessons from PyPI
Explore PyPI's trusted publishing scheme, its OpenID Connect-based authentication, and implementation details. Learn about security improvements and potential applications for other package indices.
Create Stunning OpenCV Apps - 5 Best Python GUI Frameworks
Discover top Python GUI frameworks for building impressive OpenCV applications, enhancing your computer vision projects with user-friendly interfaces.
SpeedyWeather.jl - Reinventing Atmospheric Models
Innovative Julia-based atmospheric modeling tool offering interactive, user-friendly simulations for climate research, overcoming traditional Fortran constraints with flexible, extensible components.
Event-Driven Asyncio: A Case Study of Trio's API
Explore Python's asyncio for efficient single-thread operations, focusing on Trio's API for streamlined robot decision-making. Learn about trio, trio-util, anyio, and asyncio implementations.
Building a JIT Compiler for CPython
Explore CPython's JIT compiler development using "copy-and-patch" technique, addressing challenges and tradeoffs in performance optimization for diverse platforms and user bases.
Eternal Sunshine of the Spotless Development Environment - Creating Reproducible Environments with Dev Containers
Explore Dev Containers for reproducible Python environments, enhancing project setup, contributor onboarding, and workshop management using VS Code and Docker-based tools.
Improve Your ML Projects - Embrace Reproducibility and Production Readiness with Kedro
Discover how Kedro framework enhances ML project management, focusing on reproducibility, flexibility, and production readiness. Learn to integrate Kedro for improved efficiency in Python-based projects.
Lies, Damned Lies, and Large Language Models - Measuring and Reducing Hallucinations
Explore LLM hallucinations, measure misinformation using TruthfulQA dataset, and learn about retrieval augmented generation to enhance model reliability and accuracy.
Connecting Old to New with CircuitPython: Retrocomputer Input Devices on Modern PCs
Explore adapting vintage input devices to modern PCs using CircuitPython. Learn reverse engineering, USB HID support, and 'bitbanging' techniques for nostalgic hardware enthusiasts.