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jdc08161063's Projects

datasets icon datasets

A collection of datasets ready to use with TensorFlow

datashader icon datashader

Turns even the largest data into images, accurately.

davenet-pytorch icon davenet-pytorch

Deep Audio-Visual Embedding network (DAVEnet) implementation in PyTorch

davis icon davis

Package containing helper functions for loading and evaluating DAVIS

db icon db

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

dbnet.pytorch icon dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

dc_tts icon dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

dcfnet_pytorch icon dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

dcl icon dcl

Destruction and Construction Learning for Fine-grained Image Recognition

dcrnn icon dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

ddsl icon ddsl

DDSL: Deep Differential Simplex Layer for Neural Networks

decagon icon decagon

Graph convolutional neural network for multirelational link prediction

deconvnet icon deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

decoupled-classification-refinement icon decoupled-classification-refinement

The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"

deep-air icon deep-air

Predicting Air Pollution in Beijing, China using Deep Neural Nets

deep-crf icon deep-crf

A implementation of Conditional Random Fields (CRFs) with Deep Learning Method

deep-forest icon deep-forest

An on going implementation of the gcForest algorithm

deep-k-means-pytorch icon deep-k-means-pytorch

Code for ICML 2018 paper 'Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions'

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