ml-lab Goto Github PK

commitgen

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

commix

Composition models for words and phrases (in Python/Tensorflow)

commnet

Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736

compare-mt

A program to compare language generation results and extract salient features

compare_gan

comparison

Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

comparxiv

Compare two version of an arXiv preprint with a single command.

compas-analysis

Data and analysis for 'Machine Bias'

complex_rnn

unitary matrix for hidden to hidden layer

comportex

Functionally composable cortex, an implementation of Hierarchical Temporal Memory

compositional_deep_learning

Deep learning via category theory and functional programming

compositionalhumanparsing

(ICCV2019) Learning Compositional Neural Infomation Fusion for Human Parsing

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

computervision-hw2

comunity-structure-extremely-speculative-asset-dynamics

Can features based on the network structure around a particular cryptocurrency beforeit trades, predict the severity and magnitude of the subsequent bubble?

conceptnet-numberbatch

conceptnet5

Code for building ConceptNet from raw data.

conceptual-12m

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

condensenet

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

conditional-character-based-rnn

An efficient character based RNN

conditional-pixelcnn-decoder

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

conditional-similarity-networks

conditionalstylegan

Conditional implementation for NVIDIA's StyleGAN architecture

condnet

Implementation of condnets

conformal

confounder-aware-cnn-visualization

connoisseur

Provenance Analysis in Paintings

consingan

Official implementation of the paper "Improved Techniques for Training Single-Image GANs" by Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter

contentdisentanglement

PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"