Showing 521-540 of 1,525 projects
NMA Computational Neuroscience course content for vibe coders
A collection of Python tutorials covering a wide range of topics from computer vision to network security.
FoundationPose is a unified 6D pose estimation and tracking framework for novel objects, useful for computer vision applications.
A collection of book notes on various computer science topics, not focused on vibe coder tools.
A collection of 100 deep learning examples for computer vision, NLP, and other AI/ML tasks using TensorFlow and PyTorch.
A universal feed-forward metric 3D reconstruction library for computer vision and robotics applications.
A graph-oriented live coding language and audio DSP library written in Rust for music and audio applications.
A parallelism algorithm for computation-communication overlap in DeepSeek AI training pipelines.
A curated collection of public EEG datasets for researchers and developers working with brain-computer interfaces.
A virtual Apollo Guidance Computer (AGC) software for developers
A Python library focused on improving YOLO models for object detection and computer vision tasks.
An automatic model compression framework for developing smaller and faster AI applications.
A curated list of the latest AI research papers from 2021 with explanations and code samples
A fast, lightweight, modern, and easy-to-use C++17/20/23 thread pool library for high-performance computing.
A curated list of computer history videos, documentaries, and related folklore for developers.
This GitHub repository contains projects for the Udacity Self-Driving Car Engineer Nanodegree, focusing on computer vision, deep learning, and autonomous vehicle technology.
Yocto/GL is a tiny C++ library for data-driven physically-based graphics and path tracing.
A collection of guidance and resources for postgraduate entrance examination in the Department of Computer Science and Technology at Tsinghua University.
Golem is creating a global market for computing power, enabling developers to access and utilize distributed resources.
A PyTorch tutorial for building an image captioning model using the Show, Attend, and Tell technique.
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