Stars
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
🤗 smolagents: a barebones library for agents that think in code.
A collection of pre-trained, state-of-the-art models in the ONNX format
Feature engineering and selection open-source Python library compatible with sklearn.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
A Visual Studio Code theme for the who in love with dark plus default them but a bit color and some italic font customization. ✨
Source code for the X Recommendation Algorithm
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Efficient Python Tricks and Tools for Data Scientists
B3Utils Library is a Rust library designed to simplify the development of applications and wallets on the Internet Computer. It provides utility functions and types for handling various operations …
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
B3Wallet: A decentralized, multi-chain wallet with unique support for Bitcoin, Ethereum, using Internet Computer's threshold ECDSA. Manage multiple accounts and owners securely and efficiently with…
Automated pothole detection and road damage assessment using YOLOv8-seg for real-time analysis.
AI-powered tool for Facial Attribute Analysis. It accurately predicts age, gender, race, and emotions for unmasked faces. Enhanced to detect masked faces, ensuring reliable analysis in real-world s…
This project is related to the division of countries For donations
This project is related to customer segmentation for loans
Telegram IMDb Bot: Python-based bot for Telegram. Features include movie search via IMDb API, watchlist management, and movie details retrieval. Check the demo video to see it in action.
Customer Segmentation Using Unsupervised Machine Learning Algorithms
Unsupervised Machine Learning Analysis Using Clustering Model