Showing 101-120 of 1,525 projects
End-to-end object detection library using Transformers, a powerful computer vision technique.
A curated collection of resources for machine learning, deep learning, and distributed systems development.
JupyterLab is a computational environment for interactive computing, including notebooks, terminals, and more.
The Ultimate Go Study Guide is a comprehensive resource for developers to learn and master the Go programming language.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
A curated list of resources for creative coding, including generative art, data visualization, and interactive design.
Burn is a high-performance tensor library and deep learning framework for AI and scientific computing in Rust.
SciPy is a Python library for scientific and technical computing, providing a wide range of algorithms and tools.
A powerful computer algebra system written in pure Python for scientific computing and math applications.
A C++ toolkit for building real-world machine learning and computer vision applications.
Face recognition using the FaceNet deep learning model, built with TensorFlow.
A comprehensive learning resource for data science and machine learning, covering a wide range of topics and tools.
A C++ framework for parallel computing and asynchronous networking, supporting a variety of backends like Consul, Kafka, and Redis.
Bullet Physics SDK is a real-time collision detection and multi-physics simulation library for VR, games, robotics and more.
A curated list of Microservice Architecture related principles and technologies.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
A comprehensive collection of 100 NumPy exercises with solutions, great for learning and practicing numerical computing in Python.
Dask is a Python library for parallel computing and distributed data processing, providing a scalable alternative to NumPy and Pandas.
Open-source simulator for autonomous driving research.
Open source implementation of CLIP, a contrastive learning model for multi-modal tasks like zero-shot classification.
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