Showing 2781-2800 of 4,064 projects
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
A learning project to build a tiny JVM in Rust, not directly related to AI coding tools.
A summary of the famous Stanford CS231n deep learning course, focused on helping developers learn and remember the material.
Interpretable ML package for concise, transparent, and accurate predictive modeling.
Converts any music library into a sample-library using machine learning techniques.
NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.
A high-level deep learning framework written in Kotlin and inspired by Keras.
A GitHub repository providing tutorials and documentation for learning the Rust programming language.
DeepAA is a Python library that uses deep learning to generate ASCII art from images.
An open-source platform that helps developers learn ReactJS through hands-on practice projects.
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
An open-source feature selection repository in Python for machine learning tasks.
A toolkit to optimize machine learning models for deployment, including quantization and pruning.
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.
A feature-rich open-source Android GitHub client app built with Kotlin, suitable for learning and daily use.
A free Windows C development course that teaches Win32API and reverse engineering using IDA Free.
An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.
This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.
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