Stars
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
100+ Chinese Word Vectors 上百种预训练中文词向量
State-of-the-Art Text Embeddings
Plot the vector graph of attention based text visualisation
A TensorFlow Implementation of the Transformer: Attention Is All You Need
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Graph Convolutional Networks for Text Classification. AAAI 2019
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
🦄 State-of-the-Art Conversational AI with Transfer Learning
Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently us…
中文自然语言处理工具包 Toolkit for Chinese natural language processing
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
TensorFlow Neural Machine Translation Tutorial
Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)
A Structured Self-attentive Sentence Embedding
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)