Name: Jiang Yu
Type: User
Company: New York University
Bio: Machine Learning Researcher, Software Engineer, Deep Learning and NLU.
Worked for Intel, AWS, Twitter, Tencent WeChat etc.
PhD in Computer Science at NYU
Location: New York
Jiang Yu's Projects
Code to reproduce the experiments from the paper.
Production repository for the all-new Advantage360 Professional using ZMK engine
Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun
A PyTorch implementation of the Transformer model in "Attention is All You Need".
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome Machine Learning frameworks, libraries and software.
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
TensorFlow code and pre-trained models for BERT
Bidirectional Attention Flow
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
part of healthcareChatBot Wechat17Intern
Image Completion with Deep Learning in TensorFlow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Learning Architecture Genealogy Project
deep learning for healthcare
Deep learning for recommender systems
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Reproducing Densely Interactive Inference Network in Keras
disentanglement_lib is an open-source library for research on learning disentangled representations.
A file pages counter
Python + TensorFlow implementation of the DropoutNet model