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Algorithmic Trading with Machine Learning.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
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A Python library for implementing a Recommender System.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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A Modular Framework for Multi-Modal Tabular Learning.
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Graph Neural Network Library for PyTorch.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Benchmarking Large Language Models.
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File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
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CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
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A "machine learning framework to automate text-and voice-based conversations.".
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Implementing a ChatGPT-like LLM from scratch, step by step.
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Fast and simple framework for building and running distributed applications.
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Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
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A C library for product recommendations/suggestions using collaborative filtering (CF).
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Bayesian optimization in high-dimensions via random embedding.
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An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
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Restricted Boltzmann Machines in Python. [DEEP LEARNING].
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Extensible system for analyzing and manipulating natural language.