🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Topic Modelling for Humans
An open-source, tool-augmented conversational language model from Fudan University
The official GitHub page for the survey paper "A Survey of Large Language Models".
Low-code framework for building custom LLMs, neural networks, and other AI models
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Pretrained model hub for Keras 3.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Detect the sentiment captured in short pieces of text