Regularization, Neural Network Training Dynamics
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mnist_tensorflow(batch_norm,xavier_init,gradient_decay,Adam)
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Natural Gradient, Variational Inference
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Examples for TensorFlow Weight Normalization
Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Implementation for DAIS
Code for "Effect of equivariance on training dynamics"
This project attempts to build neural network training and lightweighting cookbook including thre...
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
RepVGG: Making VGG-style ConvNets Great Again