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NumPy aware dynamic Python compiler using LLVM
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
Implementation of Convolutional LSTM in PyTorch.
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…
Typed argument parser for Python
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Rese…
Access dict values as attributes (works recursively)
Learning Confidence for Out-of-Distribution Detection in Neural Networks
USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。
This project is implementation code of AlphaStar
[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
IEEE-TNSM 2021: Anomalous Log Identification and Classification with Partial Labels
Multi-Scale Convolutional Recurrent Encoder-Decoder
The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
A knowledge base completion method which handles temporal metadata
[AAAI-2022 Oral] Official implementations of MCL: Mutual Contrastive Learning for Visual Representation Learning
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (ACL 2023)