adagrad
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Python library for neural networks.
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Dec 29, 2016 - Python
Designed a robotic system using inference. Created a project idea, collected data set for classification, and justified network design choices based on technical analysis of accuracy and speed on the target system.
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Aug 10, 2018 - C++
Numerical Optimization for Machine Learning & Data Science
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Apr 29, 2022 - Jupyter Notebook
Digit MNIST optimization classification project, our goal is to minimize the loss function using several optimizers
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Jan 25, 2022 - Python
This repository contains a Python implementation of linear regression, logistic regression, and ridge regression algorithms. These algorithms are commonly used in machine learning and statistical modeling for various tasks such as predicting numerical values, classifying data into categories, and handling multicollinearity in regression models.
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Jun 12, 2023 - Python
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
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Aug 24, 2020 - Jupyter Notebook
in this repository we intend to predict Google and Apple Stock Prices Using Long Short-Term Memory (LSTM) Model in Python. Long Short-Term Memory (LSTM) is one type of recurrent neural network which is used to learn order dependence in sequence prediction problems. Due to its capability of storing past information, LSTM is very useful in predict…
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Aug 15, 2022 - Jupyter Notebook
Song lyrics generation using Recurrent Neural Networks (RNNs)
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Dec 13, 2019 - Python
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Jun 7, 2022 - Jupyter Notebook
Advance Machine Learning (CSL 712) Course Lab Assignments
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Dec 1, 2018 - Jupyter Notebook
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Apr 16, 2019 - Jupyter Notebook
Build from scratch different numerical optimization algorithms using python
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Jul 29, 2021 - Jupyter Notebook
Classifying sentiments of tweets as positive or negative
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May 19, 2018 - Python
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May 19, 2019 - Python
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
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Oct 21, 2021 - Python
Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization
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Mar 10, 2022 - Jupyter Notebook
Objective here is to explore the concepts of deep learning and implementing it from scratch in a structured way.
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Sep 27, 2018 - Jupyter Notebook
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
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Mar 9, 2024 - Jupyter Notebook
Experimenting with MNIST using the MXNet machine learning framework
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Jan 4, 2018
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