fengqian1989 Goto Github PK

3d-reconstruction

two view structure from motion

3d_gan_tensorflow

Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow

3dbraingen

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

3dgan-release

activity-recognition-with-cnn-and-rnn

LRCN and Temporal CNN for Activity Recognition

activitynet

This repository is intended to host tools and demos for ActivityNet

activitynet-2016-cvprw

Tools to participate in the ActivityNet Challenge 2016

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

alae

[CVPR2020] Adversarial Latent Autoencoders

amap

aMAP

assembled-cnn

Official implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bayesian-learning-of-neural-network-architectures

bmaskr-cnn

Boundary-preserving Mask R-CNN (ECCV 2020)

bsbl-fm

A fast implementation of the Block Sparse Bayesian Learning algorithm

c3d-tensorflow

caffe

Caffe: a fast open framework for deep learning.

caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

caffe-lstm

LSTM implementation on Caffe

caffe-ocr

OCR with caffe deep learning framework -> Migrated to tensorflow

caffe-tensorflow

Caffe models in TensorFlow

certified-distributional-robustness

Code for the paper "Certifying Some Distributional Robustness with Principled Adversarial Training"

char-rnn-chinese

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

coco

MS COCO API - http://mscoco.org/

conditional-wassersteingan

Tensorflow implementaion of a conditional Wasserstein GAN

cvae-gan

cvpr2019-code

CVPR 2019 Paper with Code

cytominer

Methods for Image-Based Cell Profiling

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks