Nouroz R. Amon's repositories

Stock-Price-Prediction-LSTM

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Reconstruction-and-Compression-of-Color-Images

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

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Machine-Learning-Tutorials

A comprehensive list of ML tutorials - initially created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma by me.

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Quant-Finance

The repo contains my personal work/ projects related to quantitative finance in Python.

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awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

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foundations_for_deep_learning

Building a scalable foundation for deep learning

Image-Processing-and-Computer-Vision

This repository contains codes of all my practice problems of Computer Vision and Image Processing using Python Libraries: NumPy, PIL, SciPy and OpenCV

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Linear-algebra-in-numpy-python-

Topics of linear algebra with python codes using numpy library

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Twitter-data-topic-modeling

The repository contains main functions for my project at IWM, Germany. The project is about scrapping twitter data and analyzing the impact of BOT accounts.

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Algorithms

This repository contains simple implementation of most fundamental algorithms in Python

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Univariate-outlier-detection

The repository contains implementations of different univariate outlier detection algorithms

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Unsupervised-Learning

This repository contains simple implementation of some very famous unsupervised learning algorithms.

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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awesome-rl

Reinforcement learning resources curated

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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Deep-Learning-Datacamp

The codes of all exercises of Datacamp's online course in python

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

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go

The Open Source Data Science Masters

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

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My-Research-Articles

This repo contains articles of my research work during my undergrad and postgrad including research papers, seminar papers, research reports etc.

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numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

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PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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Statistical-Analysis-Cheatsheet-in-R

The repository has some fundamental cheat-sheets of statistical analysis and modeling in R

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

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Tutorials-Datacamp-Community

This repository contains all stuffs related to my writing articles for Datacamp.

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