thedatalass

thedatalass's Stars

• hanmenghan/Skip-n

  This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.

  Language:Python11

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.6k581

• datarobot-community/ai-accelerators

  Language:Jupyter Notebook8228

• opening-up-chatgpt/opening-up-chatgpt.github.io

  Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

  Language:Python967

• Codemaine/object-detection-python

  an object detection app built with python and opencv's pre-trained model

  Language:Python11

• microsoft/MLOpsPython

  MLOps using Azure ML Services and Azure DevOps

  Language:Python1.2k1.1k

• opendp/smartnoise-samples

  Code samples and documentation for SmartNoise differential privacy tools

  Language:Jupyter Notebook13249

• asweigart/sushigoroundbot

  A bot that plays the Sushi Go Round flash game using PyAutoGUI.

  Language:Python15061

• thedatalass/WiDS_graph_algorithms

  Code to go along with the Women in Data Science Workshop "Graph Theory for Data Science, Part II: Graph Algorithms: Traversing the tree and beyond"

  1

• gabrielpierobon/NLP_tips

  como hacer scraping de wikipedia en español

  Language:Jupyter Notebook3

• rstudio-education/shiny.rstudio.com-tutorial

  Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/

  Language:R295311

• juliaolivieri/WiDS_graph_algorithms

  Code to go along with the Women in Data Science Workshop "Graph Theory for Data Science, Part II: Graph Algorithms: Traversing the tree and beyond"

  Language:Jupyter Notebook73

• PacktPublishing/Network-Science-with-Python-and-NetworkX-Quick-Start-Guide

  Network Science with Python and NetworkX Quick Start Guide, published by Packt

  Language:Jupyter Notebook13586

• feast-dev/feast

  The Open Source Feature Store for Machine Learning

  Language:Python5.5k977

• weiguowilliam/CEAT

  Language:Python164

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.3k346

• garretchristensen/BestPracticesManual

  Manual of best practices in research transparency

  Language:TeX4418

• astorfi/speechpy

  :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

  Language:Python881104

• cube-js/cube

  📊 Cube — The Semantic Layer for Building Data Applications

  Language:Rust17.7k1.8k

• NeuroData-ltd/Transformers_Tuto

  Language:Jupyter Notebook2516

• Hack-the-Bay/hack-the-bay

  Language:Jupyter Notebook1111

• realpython/materials

  Bonus materials, exercises, and example projects for our Python tutorials

  Language:HTML4.8k5.3k

• jasongullifer/languageEntropy

  Use this package to compute language entropy from language history data.

  Language:R68

• JasonKessler/agefromname

  Predict age and gender from a first name

  Language:Python6011

• tikseniia/get-location-instagram

  Simple script for python to collect locations of Instagram posts with some tag

  Language:Python61

• martisak/resume

  My resume with d3.js

  Language:JavaScript144

• d3/d3-force

  Force-directed graph layout using velocity Verlet integration.

  Language:JavaScript1.8k374

• 18F/Paid-Leave-Prototype

  A proof of concept state paid family medical leave system

  Language:JavaScript63

• sdmirch/instagram-influencer-graph

  Language:Python5220

• sagepublishing/sage_tools_social_science

  Tools and technologies for social science research, a SAGE whitepaper

  Language:Jupyter Notebook346