lwwang Goto Github PK
Name: WANG
Type: User
Bio: a programmer and AI researcher
Location: USA
Name: WANG
Type: User
Bio: a programmer and AI researcher
Location: USA
The most cited deep learning papers
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Implementation of Using Fast Weights to Attend to the Recent Past
Code for finetuning AlexNet in TensorFlow 1.0
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Code for CVPR 2016 paper on Learning from Noisy Labels
Line-by-line profiling for Python
Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"
A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)
Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods
Synthesizing and manipulating 2048x1024 images with conditional GANs
Implementation for our paper "Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues."
Progressive Growing of GANs for Improved Quality, Stability, and Variation
PyTorch implementation of Grad-CAM
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
"Scene Graph Generation by Iterative Message Passing" code repository
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
:dango: SeqGAN implementation for generating text using an RNN.
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Implements an MLP for VQA
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.