adam-optimizer topic
Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
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lookahead_tensorflow
Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
TimeSeriesLearning
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogen...
Learning-Lab-C-Library
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Count-Sketch-Optimizers
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
CustomXGBoost
Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
ML-Optimizers-JAX
Toy implementations of some popular ML optimizers using Python/JAX
Adam-optimizer
Implemented Adam optimizer in python
DeepLearning_from_scratch
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Adam
Implementation of Adam Optimization algorithm using Numpy