analysing Model Pruning and Unit Pruning on a large dense MNIST network
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Updated
Mar 25, 2023 - Jupyter Notebook
analysing Model Pruning and Unit Pruning on a large dense MNIST network
Pruning System in Keras for a Deeper Look Into Convolutions
Pruning conv neural network by decreasing of num_filters in Resnet20
模型剪枝小demo
A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers
Presented at the 2023 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2023). Lightweight mirror segmentation CNN that uses an EfficientNet backbone, employs parallel convolutional layers to capture edge features, and applies filter pruning for model compression
[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
It contains different types of machine learning models like Linear Regression, Logistic Regression, Clustering techniques, Time Series Forecasting etc
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
The Ultimate in competitive Kalah. The AI in here reigned supreme over all other AIs from a class of over 300 students. Also Player vs. Player or AI vs. Player versions. Game uses very flexible and attractive GUI. Server socket/port connection for online multiplayer. Highly customizable settings. Helpful tutorial window. Multi-threaded server ho…
Code for the paper The Other Side of Compression: Measuring Bias in Pruned Transformers (IDA23)
Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints (CVPRW2020)
Quantization and pruning methods for model optimization during inference
HarvestNet 2.0: Improved Detection of Harvest Piles in Ethiopia
Architecture for pruning methods analysis using pytorch prune module
A DIY text-editor with autocomplete and spell checking feature.
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