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Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI.
Build, evaluate and train General Multi-Agent Assistance with ease
Ling is a MoE LLM provided and open-sourced by InclusionAI.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
A library for building hierarchical text representation and corresponding downstream applications.
An open-source NLP research library, built on PyTorch.
🤗 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.
TensorFlow code and pre-trained models for BERT
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Natural Language Processing Tasks and References
Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any trainin…
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
A flexible, high-performance serving system for machine learning models
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome Deep Learning tutorials, projects and communities.
Automatically exported from code.google.com/p/cuda-convnet2
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)