rmsprop topic
gradient-descent
A research project on enhancing gradient optimization methods
ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and effi...
a-tour-of-pytorch-optimizers
A tour of different optimization algorithms in PyTorch.
Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
Short description for quick search
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...
CustomXGBoost
Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
pytorch-llama-notes
Notes about LLaMA 2 model
MachineLearning
From linear regression towards neural networks...