Lists (3)
Stars
An opinionated list of Python frameworks, libraries, tools, and resources.
An Open Source Machine Learning Framework for Everyone
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GoogleTest - Google Testing and Mocking Framework
PyTorch Tutorial for Deep Learning Researchers
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Open standard for machine learning interoperability
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A technical report on convolution arithmetic in the context of deep learning
An uroboros program with 100+ programming languages
Python package built to ease deep learning on graph, on top of existing DL frameworks.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Turi Create simplifies the development of custom machine learning models.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Deep universal probabilistic programming with Python and PyTorch
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A Python implementation of global optimization with gaussian processes.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)