Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.
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Updated
May 20, 2023 - Python
Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.
"A dedicated set of optimization algorithms for numeric problems.
Pytorch optimizer for nonsmooth, nonconvex, sparsity inducing, regularizers
RAdam implementation on Keras
An implementation and comparison of different optimization algorithms (SGD, Adam etc.).
Simple parameter tuner for heuristics
This repository is devoted to the development of ML algorithms used for the generative design of a prosthetic heart valve leaflets
Used different Transformer based and LSTM based models for forecasting rainfall in different areas of Mumbai. Employed different smart training techniques to improve correlation with the true time-series.
LAMB go brrr
Bayesian hyperparameters optimization for neural networks
Command Line Application to optimize the image file by TinyPNG API
Lookahead Optimizer: k steps forward, 1step back for MXNet
Implementation of AdaBelief optimizer based on a research paper
noise gradient descent optimizer by tensorflow,you can change the optimizer as you want
Classify the handwritten digits in the MNIST data set
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