Showing 241-260 of 817 projects
A Python library for time series forecasting using LSTM neural networks.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A neural network tool to colorize grayscale images, written in Python.
A TensorFlow-based example of human activity recognition using an LSTM RNN on smartphone sensor data.
This is a course on applied deep learning, covering topics like neural networks, computer vision, and more.
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
An open-source deep learning-based tool for automatic colorization of grayscale images.
A fast and simple framework for building neural data processing pipelines using Python.
An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.
A flexible AutoML framework with learning guarantees for building high-performance AI models.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
DyNet is a dynamic neural network toolkit for building AI models.
Real-time dynamic scene rendering using 4D Gaussian Splatting
OpenCV-based Python library for building autonomous RC cars with neural networks.
A C++ library for detecting custom wake words using a deep neural network, useful for AI voice assistants.
A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.
A compiler for neural network hardware accelerators, focusing on performance and efficiency.
A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
Implement reasoning LLM in PyTorch from scratch
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