Stars
Code and implementations for the paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.
An easy-to-use Python framework to generate adversarial jailbreak prompts.
[COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Secrets of RLHF in Large Language Models Part I: PPO
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Code for "Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K -means Features"
EMNLP-2019 paper: A Lexicon-based Graph Neural Network for Chinese NER.
Implementing Bayes by Backprop
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Code for IJCAI 2018 paper "Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation"
Neural relational inference for interacting systems - pytorch
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
NLPCC2017示例代码以及数据描述
Sequence Encoding via Dynamic Routing for Text Classification
A tensorflow implementation of sequence auto encoder using rnn (lstm memory cell)
This Repo implements the word-by-word attention in "Reasoning about Entailment with Neural Attention" Paper In tensorflow version 1.0
Sentence ordering using pointer network
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Tensorflow implementation for DilatedRNN
The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017