A modular active learning framework for Python, built on top of scikit-learn.
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Visual testing tool for MCP servers.
Open source ML model versioning, metadata, and experiment management.
ModelFox is a platform for managing and deploying machine learning models.
Global, black box optimization engine for real world metric optimization by Yelp.
List of molecular design using Generative AI and Deep Learning.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Semantic search and workflows powered by language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning for NeuroImaging in Python.