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imgproxy – the fastest, most flexible image processing server
AI-powered self-hosted image processing server
imgproxy is a high-performance, secure, and open-source image processing server that gives you full control over your media pipeline. Whether you’re looking for a faster alternative to existing open-source tools, moving away from an expensive SaaS solution, or replacing a costly in-house system, imgproxy is built to handle all your image processing needs.
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also...
NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
...Speedy Composer and Speedy Net are opensource applications, free software. We are currently looking for volunteers to help us convert Speedy Composer to Python. If you are interested in volunteering, please contact me by email.
Thank you and good luck,
Uri Rodberg
Founder and Director of Speedy Net and Speedy Composer,
Speedy Paz Technologies Ltd.
uri@speedy.net
The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.