vdwow

vdwow's Stars

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  7k232

• iusztinpaul/hands-on-llms

  🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Jupyter Notebook3.1k477

• NannyML/The-Little-Book-of-ML-Metrics

  The book every data scientist needs on their desk.

  Language:Jupyter Notebook71360

• aai-institute/beyond-jupyter

  Software design principles for machine learning applications

  Language:Jupyter Notebook28523

• Joao-M-Silva/padel_analytics

  AI-powered padel analytics

  Language:Python10715

• zhanymkanov/fastapi-best-practices

  FastAPI Best Practices and Conventions we used at our startup

  9.2k691

• JaKooLit/Wallpaper-Bank

  Additional wallpapers which will be offered to users for my hyprland scripts

  26937

• drivendataorg/cookiecutter-data-science

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  Language:Python8.3k2.5k

• Paulescu/real-time-data-pipelines-in-python

  Real-time Feature Pipelines in Python ⚡

  Language:Python23655

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.7k4.2k

• Boavizta/environmental-footprint-data

  💾 Boavizta.org Data repository

  Language:Python11833

• approximatelabs/sketch

  AI code-writing assistant that understands data content

  Language:Python2.2k116

• Breakend/experiment-impact-tracker

  Language:Python27531

• lfwa/carbontracker

  Track and predict the energy consumption and carbon footprint of training deep learning models.

  Language:Python38929

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k3.7k

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.2k1.2k

• sarah-jallot/esg_scoring

  Language:Jupyter Notebook1

• LINCnil/Cabanon

  CabAnon vise à évaluer les performances de différentes techniques d’anonymisation sous la forme de dataviz interactives. Elles évaluent le « coût » de ces techniques en terme de potentiel d’utilisation de jeux de données anonymisées.

  Language:JavaScript51

• propublica/compas-analysis

  Data and analysis for 'Machine Bias'

  Language:Jupyter Notebook629264

• MAIF/eurybia

  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

  Language:Jupyter Notebook20525

• drivendataorg/deon

  A command line tool to easily add an ethics checklist to your data science projects.

  Language:Python28952

• datacraft-paris/ethical-ai-toolkit

  Language:Jupyter Notebook61

• nicknochnack/machine-learning-by-industry

  A list of machine learning GitHub repos sorted by industry.

  190101

• sdv-dev/SDV

  Synthetic data generation for tabular data

  Language:Python2.4k316

• d3/d3

  Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

  Language:Shell109k22.9k

• LabeliaLabs/referentiel-evaluation-dsrc

  Référentiel d'évaluation data science responsable et de confiance

  718

• deepaktalwardt/badminton-pose-analysis

  Badminton Pose Analysis for coaching and pose correction

  Language:Jupyter Notebook8223

• mlco2/codecarbon

  Track emissions from Compute and recommend ways to reduce their impact on the environment.

  Language:Python1.2k174

• durgeshsamariya/MLgenerator

  MLgenerator is a web app which help you to generate machine learning starter code with ease.

  Language:HTML278

• fpretto/sports_analytics

  AI, Machine Learning and Analytics applied to Sports

  Language:Jupyter Notebook94