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jdc08161063's Projects

deraindrop icon deraindrop

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

devilution icon devilution

Diablo devolved - magic behind the 1996 computer game

df-gan icon df-gan

Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

dfp icon dfp

Reinforcement Learning with Goals

dfw icon dfw

Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch

dgcn icon dgcn

Dual Graph Convolution Networks

dgi icon dgi

TensorFlow implementation of Deep Graph Infomax

dgnn-pytorch icon dgnn-pytorch

PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".

dhf1k icon dhf1k

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR2018)

dialogwae icon dialogwae

Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

dinoruntutorial icon dinoruntutorial

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

diracnets icon diracnets

Training Very Deep Neural Networks Without Skip-Connections

disccaptioning icon disccaptioning

Code for Discriminability objective for training descriptive captions(CVPR 2018)

discogan icon discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

disn icon disn

(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

dissect icon dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

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