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A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.
A Python library for synthetic data curation and structured data extraction for machine learning models.
A guide to learn about Transformer models, a foundational architecture for natural language processing.
A curated list of papers and resources on text style transfer, a task in natural language processing.
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
A Python library for parsing unstructured US addresses into structured address components.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.
A Python module for automatic keyphrase extraction from documents.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources.
A collection of must-read papers on adversarial attacks and defenses for natural language processing.
WikiChat is an improved Retrieval Augmented Generation (RAG) model that reduces language model hallucination by retrieving data from a corpus.
ChatArena is a multi-agent language game environment for developing communication and collaboration capabilities of AI models.
Official codebase for Alibaba DAMO Conversational AI, a deep learning-powered dialog system.
Comprehensive collection of resources and tools for building awesome search experiences.
A curated list of resources for Document Understanding (DU) related to machine learning and natural language processing.
This repository provides implementations of different architectures for emotion recognition in conversations.
Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.
A deep learning and neural machine translation library built with TensorFlow for sequence learning tasks.
A Python library for named-entity recognition, part-of-speech tagging, and other NLP tasks using LSTM-CRF and ELMo models.
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