ljk628

An-Information-theoretic-Metric-of-Transferability

This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

parc

A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.

FmFM

dimensions

Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

loss-landscape-anim

Create animations for the optimization trajectory of neural nets

task_adaptation

vision_transformer

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

model_compression

PyTorch Model Compression

Pruning_filters_for_efficient_convnets

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

cvpr18-inaturalist-transfer

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

pyemd

Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

pyemd

Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

metalearn-leap

Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot experiment presented in the paper.

xfer

Transfer Learning library for Deep Neural Networks.

ensmallen

A header-only C++ library for numerical optimization --

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

lucid

A collection of infrastructure and tools for research in neural network interpretability.

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

entropy-sgd

Lua implementation of Entropy-SGD

large-batch-training

Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"

fairseq-lua

Facebook AI Research Sequence-to-Sequence Toolkit