Transfer Learning Shootout for PyTorch's model zoo (torchvision)
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
Show how to perform fast retraining with LightGBM in different business cases
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
#自然语言处理#Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
Library for automatic retraining and continual learning
This repo contains the code used in my experiment titled "Retrain a model to detect Pip using Tensorflow Object Detection". In this attempt,I am trying to explain in detail every step is needed to b...
Automatic (periodic) retraining of Amazon Personalize
a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like C...