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diffeqwebbase.jl

JuliaDiffEq features tailored for DiffEqOnline

differentiable.dev

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

differentiableprogramming

differential-dataflow

An implementation of differential dataflow using timely dataflow on Rust.

differential-privacy

Google's differential privacy library.

differentialdynamicprogramming.jl

A package for solving Differential Dynamic Programming and trajectory optimization problems.

differentialequations.jl

Julia suite for high-performance solvers of differential equations

difficulty

diffie_hellman_key_exchange

Swift implementation of classic cryptographic key exchange method.

diffpool

diffq

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

diffractor.jl

Next-generation AD

diffresults.jl

A package which provides an API for querying differentiation results at multiple orders simultaneously

diffrl

[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation

diffrules.jl

A simple shared suite of common derivative definitions

diffsharp

DiffSharp: Differentiable Functional Programming

diffsort

Differentiable Sorting Networks

difftests.jl

A common suite of test functions for stressing the robustness of differentiation tools.

diffusers

diffusion

Denoising Diffusion Probabilistic Models

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

digedit

A high performace text editor for huge file and long line.

digibyte

DigiByte Core 6.16.5 - CURRENT (9-21-2018) - 6.17.1 Development

digibyteminer

1 Click Miner for Digibyte

digit_recognizer

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

digital-datasheets

digital-optical-neural-network-code

Relevent code snippets for the digital optical neural network project in Dirk Englund's group

digitaldavis

iphone app for UC Davis Health as part of Sac State 2020 Senior Project. Created with React Native, Nodejs, MongoDB, Docker, and JWT authenication.

digits

Deep Learning GPU Training System