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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dh2323project

dicomtomesh

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

digit-recognition-mnist-svhn-pytorch-cpp

Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API

dingtalk

钉钉桌面版，基于electron和钉钉网页版开发，支持Windows、Linux和macOS

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

discregrid

A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the generation of signed distance fields.

disn

(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

distancefieldgen

3D distance field generator.

dlss

NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dohlyzer

DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

dreamtime

Use artificial intelligence to create fake nudes.

drjit

Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering

dsr-benchmark

A Survey and Benchmark for Automatic Surface Reconstruction from Point Clouds

dtls-fuzzer

Protocol state machine learner and fuzzer for DTLS servers and clients

dual-contouring

Dual Contoruing implemented in C++

dualcontouringsample

An implementation of the Dual Contouring algorithm based on the reference code

dualmarchingcuboids

A dual Marching Cubes method using cuboids, based on greedy meshing. Suitable for use with a uniform grid of data derived from multiple depth maps.

dualmesh-udf

dualoctreegnn

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

ebgan-celeba

Pytorch implementation of Energy Based GAN for CelebA dataset

ecg

ECG: Edge-aware Point Cloud Completion with Graph Convolution

edt

Euclidean Distance Transform

eg16_tutorial

Demo material for the EG16 tutorial on "Deep learning for 3D shape analysis"

embree

Embree ray tracing kernels repository.

energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

euclidean-distance-transform-3d

Euclidean distance transform for multi-label 3D anisotropic images using marching parabolas.

examples

Examples for the OpenGL Red Book