Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Forge sounds pretty great but there does not seem to be much in the way of documentation.
I don't even see simple "How to compile" or build instructions. Which seems like a good place to start.
The description talks about it being like "Legos" where you can use the different parts of the system as needed. So does that mean it can be built in sections and integrated into other projects pi
Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).
A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.
The Forge sounds pretty great but there does not seem to be much in the way of documentation.
I don't even see simple "How to compile" or build instructions. Which seems like a good place to start.
The description talks about it being like "Legos" where you can use the different parts of the system as needed. So does that mean it can be built in sections and integrated into other projects pi