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klusta

Automatic spike sorting up to 64 channels

kmedoids

The Python implementation of k-medoids.

kneser-ney

Kneser-Ney implementation in Python

knn4qa

k-nearest neighbor search for question answering (QA) and information retrieval (IR)

knowing-when-to-look

adaptive attention model. tensorflow implementation of knowing when to look: adaptive attention via visual sentinel for image captioning.

knowledge-distillation

site crawler for knowledge graph

knowledge-distillation-1

Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322

knowledge-distillation-2

Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN

knowledge-distillation-keras

A machine learning experiment

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

knowledge-extraction

From Natural Language Text to Graph Database

knowledge-graph

Creates knowledge graph from information processed by "Entity Extraction and Linking" module, and "Emotion Recognition from Text" module

knowledge-graph-publications

Top-level Conference Publications on Knowledge Graph

knowledge_distillation_caffe

KnowledgeDistillation Layer (Caffe implementation)

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

koalas

Koalas: Pandas API on Apache Spark

kpconv

Kernel Point Convolutions

kprn

Reasoning Over Knowledge Graph Paths for Recommendation

krantikariqa

An InformationGain based Question Answering over knowledge Graph system.

krypto-trading-bot

Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++

kth_vehicle-routing-problem

KTH Artificial Intelligence (DD2380) final project VRP implemented in IP, PDDL and RL

kubeflow

Machine Learning Toolkit for Kubernetes

kvae

Kalman Variational Auto-Encoder

kvmemnn

Key value memory network implemented using keras

l-gm-loss

Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"

l2d

l2hmc

l2x

l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm