- Wuhan, China
- @Simone_Spring
Stars
This repo contains the code for our paper entitled "Multi-Agent Trajectory Prediction with Heterogeneous Edge-Enhanced Graph Attention Network".
This is the official code base of VectorMapNet (ICML 2023)
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
Interaction Dataset Python Scripts
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
Multi Task Vision and Language
Supervised Multimodal Bitransformers for Classifying Images and Text
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能,如:自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。
ChatYuan: Large Language Model for Dialogue in Chinese and English
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Gaussian Metric Learning for Few-Shot Uncertain Knowledge Graph Completion
Bayesian negative sampling is the theoretically optimal negative sampling algorithm that runs in linear time.
My implementation of TD3 DDPG agent in python 3 using Tensorflow
Reinforcement learning algorithms implemented based on tensorflow 1.x
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....