A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
A PyTorch implementation of DeepDream.
Train and run a computer vision model with 5-10 lines of code.
Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]
Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]
deep learning based cutting-edge facial detector for Python coming with facial landmarks
A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
Open source Python module for computer vision. [Deprecated]
Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)
A collection of algorithms for image processing in Python.
Pretrain computer vision models on unlabeled data for industrial applications
A machine learning / bayesian inference assigning attributes to objects.
A library for machine learning that builds predictions using a linear regression.
Chinese Words Segmentation Utilities.
Naïve Bayes
A OpenSource Computer Vision Library
OCaml bindings for TensorFlow.
A general statistics and machine learning library.
It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]
It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]
It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]
An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.
Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]
A Machine Learning framework for Objective-C and Swift (OS X / iOS).
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
Neural network library in F#.
Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.
Multidimensional cluster generation in MATLAB/Octave.
Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
A complete object-oriented environment for machine learning in Matlab.
Class on machine w/ PDF, lectures, code
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
torch-datasets - Scripts to load several popular datasets including
.
A python package that integrates an LLM copilot inside the keras model development workflow.
[Deprecated]
a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.