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contrastive-unpaired-translation

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

convex-optimization-for-finance

Talk Materials for "Convex Optimization for Finance"

convoy

A Docker volume plugin, managing persistent container volumes.

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

coq

Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

core

MetaCall: The ultimate polyglot programming experience.

core-1

Using Artificial Intelligence to analyse and recommend Software Stacks for Artificial Intelligence applications.

cost

cpde

Results of the research to reproduce

crate

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of machine data in real-time.

creative-adversarial-networks

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

criu

Checkpoint/Restore tool

criu-image-streamer

Enables streaming of images to and from CRIU during checkpoint/restore with low overhead

crossui-empty

This is a codeless programming project created by CrossUI GitHub

crypto-signal

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

cryptocurrency-trading-bots-python-beginner-advance

Crypto Trading Bots in Python - Triangular Arbitrage, Beginner & Advanced Cryptocurrency Trading Bots Written in Python

cryptofeed

Cryptocurrency Exchange Websocket Data Feed Handler

cryptonets

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cusignal

cuSignal - RAPIDS Signal Processing Library

cutting-edge-technologies-effect-on-s-p500-companies-performance-and-mutual-funds

cydets

Cycle Detection in Time Series (CyDeTS). An algorithm to detect cycles in times series along with their respective depth-of-cycle (DoC) and duration.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

daft

Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"

dagda

a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities

dagger

A programmable CI/CD engine that runs your pipelines in containers

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

dalle-mini

DALL·E Mini - Generate images from a text prompt

dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

data-science-blueprints

Systems that show how to accelerate modern machine learning and data processing