Showing 1-20 of 28 projects
Data science Python notebooks covering deep learning, machine learning, big data, and more.
Interactive deep learning book with code and math
Converts e-books to audiobooks using AI voice cloning and supports over 1158 languages.
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
A comprehensive collection of deep learning tutorials, articles, and resources for developers.
A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
An open-source machine learning course focused on practical algorithms and data analysis in Python.
A comprehensive repository for interview preparation, including guides, algorithms, and code analysis.
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
Official Kaggle CLI for interacting with the Kaggle platform from the command line.
A collection of code examples and baselines for common data science and machine learning competitions.
Collection of 100+ Jupyter Notebook tutorials for fine-tuning AI models on various platforms.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
Run VS Code (codeserver) on Google Colab or Kaggle Notebooks for AI-powered coding on the cloud.
Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.
A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.
A 1st place solution for a Kaggle competition on improving product search relevance using NLP.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
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