lwwang

Two_branch_network

Diverse_and_Accurate_Image_Caption

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.

grover

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

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

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

pl-clc

Implementation for our paper "Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues."

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.

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

scene-graph-TF-release

"Scene Graph Generation by Iterative Message Passing" code repository

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

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

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

weak-sup-visual-grounding

The official implementation of CVPR 2021 Paper: Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.