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
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.
Quant-Finance
The repo contains my personal work/ projects related to quantitative finance in Python.
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
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
Linear-algebra-in-numpy-python-
Topics of linear algebra with python codes using numpy library
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.
Algorithms
This repository contains simple implementation of most fundamental algorithms in Python
Univariate-outlier-detection
The repository contains implementations of different univariate outlier detection algorithms
Unsupervised-Learning
This repository contains simple implementation of some very famous unsupervised learning algorithms.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
awesome-rl
Reinforcement learning resources curated
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Deep-Learning-Datacamp
The codes of all exercises of Datacamp's online course in python
EffectiveTensorflow
TensorFlow tutorials and best practices.
end-to-end-negotiator
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
My-Research-Articles
This repo contains articles of my research work during my undergrad and postgrad including research papers, seminar papers, research reports etc.
numerical-linear-algebra
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Statistical-Analysis-Cheatsheet-in-R
The repository has some fundamental cheat-sheets of statistical analysis and modeling in R
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
Tutorials-Datacamp-Community
This repository contains all stuffs related to my writing articles for Datacamp.