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conditional-and-nonconditional-capsule-gans

This is the repository for the code used in writing the paper, 'Generative Adversarial Network Architectures For Image Synthesis Using Capsule Network'

conditional-neural-process

conditional-similarity-networks

cone-of-silence

The Cone of Silence:

config-parser

RiseML config parser

conjecture

Scalable Machine Learning in Scalding

connexion

Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support

conspeech

Political Speech Generator

constellation

Peer-to-peer encrypted message exchange

constellation-1

A graph-focused data visualisation and interactive analysis application.

constrained-hamiltonian-neural-networks

containers

Dremio Container Tools

content-aware-node2vec

Source code and Datasets of "Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors"

contentdisentanglement

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

contextual-repr-manifolds

continual-inference

Building blocks for Continual Inference Networks in PyTorch

continuum

A clean and simple data loading library for Continual Learning

contra

contract

The Numeraire Ethereum Smart Contract

contracts

Bancor Protocol Contracts

contracts-1

0x smart contracts and tests.

contracts-2

Smart contracts and demo site for Opus foundation

contracts-3

The Ink Protocol Ethereum Smart Contract

contracts-4

Stake tree contracts

contracts-5

contracts-6

contrad

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

controllabletalknet

This is a modified version of NVIDIA's TalkNet. It is a controllable network that can be used for both CPU and GPU inference.