Deeplearning
Showing 22 of 22 projects
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.
A collection of libraries to optimize AI model performance through inference acceleration, infrastructure efficiency, and fine-tuning optimization.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
An example Android project demonstrating how to build and integrate TensorFlow for object detection using the camera.
A collection of TensorFlow tutorials and examples covering image classification, GANs, text classification, and model deployment.
A uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, and Keras in C++ and Python.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
A collection of Google Colab tutorials teaching biologists how to apply deep learning with Keras to real-world biological and agricultural problems.
A deep similarity learning-based type inference tool for Python that provides ML-powered type auto-completion.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.