valencig

valencig's Stars

• jlevy/the-art-of-command-line

  Master the command line, in one page

  155k2.8k25414.6k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook75.6k69514539.1k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  70.1k904507.5k

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python45.2k8321238.7k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  32.9k3.1k01.8k

• realpython/python-guide

  Python best practices guidebook, written for humans.

  Language:Batchfile28.8k1.4k2695.9k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook19.1k6531898.8k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook14.3k100191.2k

• andkret/Cookbook

  The Data Engineering Cookbook

  Language:Python14.1k5441352.6k

• kautukkundan/Awesome-Profile-README-templates

  A collection of awesome readme templates to display on your profile

  Language:JavaScript10.9k162477.4k

• bytedance/monolith

  A Lightweight Recommendation System

  Language:Python8.7k7821669

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.6k961.6k980

• Nyandwi/machine_learning_complete

  A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  Language:Jupyter Notebook4.8k875792

• keras-team/keras-core

  A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

  Language:Python1.3k26172117

• 7etsuo/windows-api-function-cheatsheets

  A reference of Windows API function calls, including functions for file operations, process management, memory management, thread management, dynamic-link library (DLL) management, synchronization, interprocess communication, Unicode string manipulation, error handling, Winsock networking operations, and registry operations.

  1.2k229132

• Azure-Samples/openai

  The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

  Language:Jupyter Notebook1.2k4241407

• ricklamers/shell-ai

  LangChain powered shell command generator and runner CLI

  Language:Python1.1k162372

• microsoft/farmvibes-ai

  FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

  Language:Jupyter Notebook72637134134

• Harvard-IACS/2019-CS109A

  https://harvard-iacs.github.io/2019-CS109A/

  Language:Jupyter Notebook549692448

• amulchapla/AI-Powered-Call-Center-Intelligence

  AI-Powered-Call-Center-Intelligence powered by Azure AI (including Azure OpenAI GPT-3)

  Language:JavaScript23290107

• keithmcnulty/peopleanalytics-regression-book

  Handbook of Regression Modeling in People Analytics

  Language:TeX158142980

• rstudio-education/stat545

  A :book: on data wrangling, exploration, & analysis with R - created by Jenny Bryan, made with bookdown

  Language:HTML153153492

• hackingthemarkets/sentiment-fear-and-greed

  Backtesting the Fear and Greed Index and Put Call Ratio with Python and Backtrader

  Language:Python1163475

• keithmcnulty/ona_book

  Handbook of Graphs and Networks in People Analytics

  Language:TeX116101331

• hackingthemarkets/wallstreetbets-tracker

  Using Python and Pushshift.io to Track stocks on the WallStreetBets subreddit

  Language:Python975036

• ITAM-DS/analisis-numerico-computo-cientifico

  Análisis numérico y cómputo científico

  Language:Jupyter Notebook442613190

• gabrielpreda/reddit_extract_content

  Extract content from a subreddit

  Language:Python20204

• felipegonzalez/metodos-analiticos-mcd-2020

  Notas y material para el curso de Métodos Analíticos (Maestría en Ciencia de Datos, ITAM, 2020).

  Language:HTML137015

• mno-2020-gh-classroom/ex-modulo-3-comp-matricial-svd-czammar

  ex-modulo-3-comp-matricial-svd-czammar created by GitHub Classroom

  Language:Jupyter Notebook12432

• valencig/the-r-in-spark

  Mastering Apache Spark with R

  Language:HTML1100