rohitpandey13

rohitpandey13's Stars

• fluentpython/example-code-2e

  Example code for Fluent Python, 2nd edition (O'Reilly 2022)

  Language:Python3.4k957

• dabeaz/curio

  Good Curio!

  Language:Python4.1k245

• Suor/funcy

  A fancy and practical functional tools

  Language:Python3.4k146

• pytoolz/toolz

  A functional standard library for Python.

  Language:Python4.7k266

• mahmoud/glom

  ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️

  Language:Python1.9k65

• python-attrs/attrs

  Python Classes Without Boilerplate

  Language:Python5.3k379

• SimplifiedDevOps/Project-2-Log-Analytics-and-AI-Agents

  Project 2: Log Analytics and AI Agents

  Language:Python1

• EmilHvitfeldt/feature-engineering-az

  Source for book "Feature Engineering A-Z"

  Language:HTML1279

• OpenCoder-llm/OpenCoder-llm

  The Open Cookbook for Top-Tier Code Large Language Model

  Language:Python1.5k91

• AndPotap/einsum-search

  Language:Jupyter Notebook292

• afshinea/stanford-cs-221-artificial-intelligence

  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

  2.6k507

• alfredodeza/python-bootcamp-duke

  Official syllabus for AIPI 503 - Python Bootcamp for Data and AI

  4912

• statmike/vertex-ai-mlops

  Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

  Language:Jupyter Notebook516236

• mckinsey/vizro

  Vizro is a low-code toolkit for building high-quality data visualization apps.

  Language:Python2.7k145

• PacktPublishing/The-Definitive-Guide-to-Google-Vertex-AI

  Language:Jupyter Notebook2513

• huggingface/data-is-better-together

  Let's build better datasets, together!

  Language:Jupyter Notebook23829

• xbresson/GML2023

  Graph Machine Learning course, Xavier Bresson, 2023

  Language:Jupyter Notebook59291

• Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources

  Compendium of free ML reading resources

  27959

• ashishps1/awesome-behavioral-interviews

  Tips and resources to prepare for Behavioral interviews.

  5.1k889

• ashishps1/awesome-low-level-design

  Learn Low Level Design (LLD) and prepare for interviews using free resources.

  Language:Java9.6k2.4k

• jeremy-london/solve-by-hand

  Demystify AI concepts: hand-solved problems translated into code for clarity.

  Language:Python123

• peremartra/Large-Language-Model-Notebooks-Course

  Practical course about Large Language Models.

  Language:Jupyter Notebook1.4k354

• primaprashant/llms-in-production

  📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.

  363

• decodingml/llm-twin-course

  🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  Language:Python3.1k513

• promptfoo/promptfoo

  Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  Language:TypeScript5.1k408

• naimisha13/NLP-Notebooks

  Implementation of various NLP techniques from scratch demonstrating the understanding and technical knowledge of the working of each

  Language:Jupyter Notebook2

• rohitpandey13/Geospatial_Foundation_Models

  1

• boranhan/Geospatial_Foundation_Models

  Language:Python463

• rohitpandey13/conformal-tights

  Conformal Tights is a scikit-learn meta-estimator that adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor

  1

• superlinear-ai/conformal-tights

  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

  Language:Python913