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continuumworld.jl

A continuous gridworld-like MDP for education.

contour.jl

Calculating contour curves for 2D scalar fields in Julia

contracode

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

contract-metadata

A mapping of ethereum contract addresses to broadly accepted icons for those addresses.

contracts

📝 Decentraland contract addresses

contradictory-watson

Kaggle contest

contrastive-tension

State of the art Semantic Sentence Embeddings

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

contrastiveexplanation

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

contrib

contribution works with PaddlePaddle from the third party developers

contrib-api-doc

Clojure contrib API doc build

contribute.dev

A list of cool open-source projects that you can contribute to with one click

contributing

Documentation, guidelines, and policy on contributing to all BioJulia repositories

controlexamples.jl

controlsystems.jl

A Control Systems Toolbox for Julia

conv-net-version-3

Deep neural network framework (C++/OpenCV).

convchain

Bitmap generation from a single example with convolutions and MCMC.

convcnp

Implementation of the Convolutional Conditional Neural Process

conventions

∞ Priceloop Engineering Conventions for Python, Golang, Git Workflow etc

conversational-ai-workshop-18

Example showing generalisation

converter

Multiplatform UUP converter

converters

convex-optimization-for-finance

Talk Materials for "Convex Optimization for Finance"

convex-polygon-intersection

Detecting intersection of convex polygons in 2D

convex.jl

A Julia package for disciplined convex programming

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

convexpolytopeposioning

ConvexPolytopePosioning

convlstm

Convolutional LSTM for video segmentation with Keras

convmixer

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.