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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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A modular active learning framework for Python, built on top of scikit-learn.
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Visual testing tool for MCP servers.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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Global, black box optimization engine for real world metric optimization by Yelp.
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List of molecular design using Generative AI and Deep Learning.
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Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
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CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
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Llama3 implementation one matrix multiplication at a time.
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A Natural Adversarial Language Processing framework built over Tensorflow.
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General natural language facilities for node.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Semantic search and workflows powered by language models.
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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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A PyTorch implementation of DeepDream.
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A parallel neural net microframework.
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A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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Natural Language processing in the browser.
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An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
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A Julia package for non-negative matrix factorization.