shubhamgupta-dat's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
hwchase17/langchain
⚡ Building applications with LLMs through composability ⚡
imartinez/privateGPT
Interact with your documents using the power of GPT, 100% privately, no data leaks
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
usememos/memos
An open-source, lightweight note-taking solution. The pain-less way to create your meaningful notes. Your Notes, Your Way.
kuchin/awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
huggingface/text-generation-inference
Large Language Model Text Generation Inference
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
hwayne/awesome-cold-showers
For when people get too hyped up about things
PyCQA/isort
A Python utility / library to sort imports.
keyvanakbary/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
Eventual-Inc/Daft
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
infracost/vscode-infracost
See cost estimates for Terraform right in your editor💰📉
merveenoyan/my_notes
My small cheatsheets for data science, ML, computer science and more.
cleanlab/cleanvision
Automatically find issues in image datasets and practice data-centric computer vision.
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
duxuhao/Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
kLabUM/rrcf
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
solegalli/feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning
anujdutt9/Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
pycabook/pycabook
Source of the book "Clean Architectures in Python"
csu-devsquad-latam/trunkbased-mlops
This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.