Pinned Repositories
30-seconds-of-code
Short code snippets for all your development needs
50Algorithms
Adafruit_SensorLab
Arduino library for scientific sensor readings/fusions/manipulations
AdminLTE
AdminLTE - Free admin dashboard template based on Bootstrap 5
ai-notes
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
DataSciencePython
common data analysis and machine learning tasks using python
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python
All Algorithms implemented in Python
Rath
Next generation of automated data exploratory analysis and visualization platform.
vscode-debug-visualizer
An extension for VS Code that visualizes data during debugging.
Speedo8769's Repositories
Speedo8769/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Speedo8769/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Speedo8769/DISC-LawLLM
DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services
Speedo8769/awesome-chatbots
A curated list of awesome Chatbot services and resources.
Speedo8769/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Speedo8769/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
Speedo8769/30-seconds-of-code
Short code snippets for all your development needs
Speedo8769/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
Speedo8769/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Speedo8769/ChatGraph
Talking Graphs: Your Data Speaks Up
Speedo8769/Leaked-GPTs
Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.
Speedo8769/x-IMU3-Software
Speedo8769/great_expectations
Always know what to expect from your data.
Speedo8769/visidata
A terminal spreadsheet multitool for discovering and arranging data
Speedo8769/featuretools
An open source python library for automated feature engineering
Speedo8769/nteract
📘 The interactive computing suite for you! ✨
Speedo8769/MathJax-src
MathJax source code for version 3 and beyond
Speedo8769/feature_engine
Feature engineering package with sklearn like functionality
Speedo8769/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Speedo8769/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code.
Speedo8769/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Speedo8769/Adafruit_SensorLab
Arduino library for scientific sensor readings/fusions/manipulations
Speedo8769/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Speedo8769/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Speedo8769/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Speedo8769/Python
All Algorithms implemented in Python
Speedo8769/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Speedo8769/Rath
Next generation of automated data exploratory analysis and visualization platform.
Speedo8769/MathJax
Beautiful and accessible math in all browsers
Speedo8769/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)