WANG's repositories
tf-faster-rcnn
A Tensorflow Implementation of Faster RCNN
awesome-deep-learning-papers
The most cited deep learning papers
fast-weights
Implementation of Using Fast Weights to Attend to the Recent Past
finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow 1.0
generative-models
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
image_captioning
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
line_profiler
Line-by-line profiling for Python
LocalizingMoments
Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"
onestage_grounding
A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)
Optimization_of_image_description_metrics_using_policy_gradient_methods
Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
pytorch-grad-cam
PyTorch implementation of Grad-CAM
resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
scene-graph-TF-release
"Scene Graph Generation by Iterative Message Passing" code repository
seqgan-text-tensorflow
:dango: SeqGAN implementation for generating text using an RNN.
sequence_gan
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
show-adapt-and-tell
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
weak-sup-visual-grounding
The official implementation of CVPR 2021 Paper: Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.