GitHub - IntelLabs/nlp-architect: A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networksYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - IntelLabs/distiller: Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Automatic Compression Automated Model Compression (AMC) Weight pruning Element-wise pruning using magnitude thresholding, sensitivity thresholding, target sparsity level, and activation statistics Structured pruning Convolution: 2D (kernel-wise), 3D (filter-wise), 4D (layer-wise), and channel-wise structured pruning. Fully-connected: column-wise and row-wise structured pruning. Structure groups (e
GitHub - IntelLabs/SkimCaffe: Caffe for Sparse Convolutional Neural Network
⚠️ DISCONTINUATION OF PROJECT - This project will no longer be maintained by Intel. Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project. Intel no longer accepts patches to this project. If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain
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GitHub - IntelLabs/rnnlm: Recurrent Neural Network Language Modeling (RNNLM) Toolkit
GitHub - IntelLabs/HPAT.jl: High Performance Analytics Toolkit (HPAT) is a Julia-based framework for big data analytics on clusters.
