Mathanraj-Sharma's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
h2oai/h2ogpt
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
pycaret/pycaret
An open-source, low-code machine learning library in Python
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
ahmedfgad/GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
pyjanitor-devs/pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
dstackai/dstack
dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI across any cloud or on-prem. It supports NVIDIA, AMD, and TPU.
Mange/rtl8192eu-linux-driver
Drivers for the rtl8192eu chipset for wireless adapters (D-Link DWA-131 rev E1 included!)
HazyResearch/meerkat
Creative interactive views of any dataset.
pytorch/torcharrow
High performance model preprocessing library on PyTorch
AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
h2oai/awesome-h2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
PacktPublishing/Machine-Learning-Engineering-with-Python-Second-Edition
luciferreeves/edify
Regular Expressions Made Simple.
PacktPublishing/Debugging-Machine-Learning-Models-with-Python
Debugging Machine Learning Models with Python, published by Packt
scijava/scyjava
⚡ Supercharged Java access from Python ⚡