MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
No need to keep checking your training, just one import line and you'll know the second it's done.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A modular active learning framework for Python, built on top of scikit-learn.
Visual testing tool for MCP servers.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
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 supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Semantic search and workflows powered by language models.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A PyTorch implementation of DeepDream.
A parallel neural net microframework.