Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
Repository Index
47,133 repositories indexed
1–24 of 27 · Most stars
Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
🐍 Geometric Computer Vision Library for Spatial AI
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
Optimized primitives for collective multi-GPU communication
- communications
- cpp
- cuda
- deep-learning
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
- convolutional-neural-networks
- deep-learning
- speaker-recognition
- 3d
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
OCaml bindings for PyTorch
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Awesome list of software that I use to do research in medical imaging.
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
- point-cloud
- deep-learning
- relocalization
- feature-learning
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
- clojure
- computer-vision
- kotlin
- opencv
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
- autograd
- compiler
- deep-learning
- golang
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning