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

A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

Progressive Growing of GANs for Improved Quality, Stability, and Variation

"Scene Graph Generation by Iterative Message Passing" code repository

Line-by-line profiling for Python

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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

Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

🍡 SeqGAN implementation for generating text using an RNN.

PyTorch implementation of Grad-CAM

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

A TensorFlow implementation of DeepMind's WaveNet paper

Computation using data flow graphs for scalable machine learning

The most cited deep learning papers

A Tensorflow Implementation of Faster RCNN

Code for finetuning AlexNet in TensorFlow 1.0

Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

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

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Implementation of Using Fast Weights to Attend to the Recent Past