Stars
A curated list of action recognition and related area resources
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry
AI Infra / AI Orchestration / AI Control Plane
Torch implementation of neural style algorithm
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
🤘 awesome-semantic-segmentation
Models and examples built with TensorFlow
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of deep learning resources for computer vision
A minimal and fast image library for Python and C++
high performance image loading and augmenting routines mimicking PIL.Image interface
PyTorch Tutorial for Deep Learning Researchers
Parse strings using a specification based on the Python format() syntax.
Semantic Segmentation Architectures Implemented in PyTorch
Powerlevel9k was a tool for building a beautiful and highly functional CLI, customized for you. P9k had a substantial impact on CLI UX, and its legacy is now continued by P10k.
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Implementation of several state of the art methods for Binary Segmentation in PyTorch
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
An Open Source Machine Learning Framework for Everyone