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evanlev / ceres-solver
Forked from ceres-solver/ceres-solverA large scale non-linear optimization library
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
VINS-Mono中文注释
shiftkey / desktop
Forked from desktop/desktopFork of GitHub Desktop to support various Linux distributions
🔧 Collection of CMake toolchain files and scripts for cross-platform build and CI testing (GCC, Visual Studio, iOS, Android, Clang analyzer, sanitizers etc.)
Code for "SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation" (ECCV 2020)
torch-optimizer -- collection of optimizers for Pytorch
🔗 C++17 network / graph visualization library - Qt6 / QML node editor.
Qt Node Editor. Dataflow programming framework
A large-scale face dataset for face parsing, recognition, generation and editing.
A technical report on convolution arithmetic in the context of deep learning
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
A toolkit for making real world machine learning and data analysis applications in C++
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Magenta: Music and Art Generation with Machine Intelligence
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
openMVG with a LATCH descriptor, an ORB descriptor, DEEP descriptors from the cvpr15compare repo, PNNet/Torch loader and a GPU-based L2 matcher integrated
Neural network training using iterated projections.
Implementation of TV denoising algorithms from "A. Chambolle, T. Pock. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. Journal of Mathematical Imaging and Visi…
Productive, portable, and performant GPU programming in Python.