A regularized version of RBM for unsupervised feature selection.
-
Updated
Nov 20, 2019 - Python
A regularized version of RBM for unsupervised feature selection.
A reproduction of Learning Efficient Convolutional Networks through Network Slimming
A tool to quickly triage multiple IPs. Note: I have made this redundant with: https://github.com/jkerai1/VirusTotal-IP-powershell a much more powerful tool.
Comparison of common loss functions in PyTorch using MNIST dataset
crypto analysis for the non-tech audience, simple scoring and simpler UI
Xylume TestNet is a next-gen decentralized Layer 1 platform and protocol optimized for high throughput, scalability, and performance, enabling low-cost, sub-second transactions with strong security and efficiency.
[PyTorch] Implementation of MS-SSIM + L1 loss proposed in "Loss Functions for Neural Networks for Image Processing" for Greyscale Images
Add a description, image, and links to the l1 topic page so that developers can more easily learn about it.
To associate your repository with the l1 topic, visit your repo's landing page and select "manage topics."