Jianguo Zhang

Few-Shot-Intent-Detection. Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

Conversational-AI. Conversational AI Reading Materials

Seq2Seq-Gan-Autoencoder. GAN and Seq2Seq

Transfer-Learning. We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.

BiWeekly-Research-Paper-Series. (Bi) Weekly Research Paper Series

CarND1-Behavioral-Cloning-P3. Behavioral Cloning. See my results demo at https://youtu.be/YLzhG9FJ-ag

CarND1-Advanced-Lane-Detection-P4. CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be

pytorch-pretrained-BERT. 📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

NeuralDialog-ZSDG. PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

How-to-use-tensorboard. Python

DNLD-Face-Generation-P5. Using generative adversarial networks(GAN) to generate new images of faces based on Large-scale CelebFaces Attributes (CelebA) Dataset