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ece697sp-hyperspectral-project

Our final class project. Hyperspectral image classification.

edge_dollar-

efficient-ssl

Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."

efficient-uncertainty-video-segmentation

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

elastic-boundary-projection

PyTorch Implementation of EBP - CVPR 2019

elm-mvclustering

ELM-based multi-view clustering for NeuroComputing

embedding_zero-shot-learning

epg

Open-sourced code for Evolved Policy Gradients

ephys_pink_noise

Creates the pink noise stimuli used in the noise1, noise2, and ramp to rheo stimulus used in the Allen Institute for Brain Science electrophysiology pipeline.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-approximate-energy-minimization-via-graph-cuts

Minimize Energy in Images.

fast_knn_gpu

Tensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!

fast_rpca

faster-rcnn-resnet

ResNet Implementation for Faster-rcnn

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fastesc

Fast Large-Scale Spectral Clustering via Explicit Feature Mapping

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fastmaskrcnn

Mask RCNN in TensorFlow

fastrpca

Matlab code for all variants of robust PCA and SPCP

fastsc

A fast implementation of spectral clustering on GPU-CPU Platform

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcl

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn_train

The code includes all the file that you need in the training stage for FCN

few-shot-gnn

few-shot-learning

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification