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Name: Md Aminur Hossain

Type: User

Bio: I am interested to learn Data Science. Working in the filed of Data Processing and Software Development

Location: India

Md Aminur Hossain's Projects

100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

adversarialnetspapers

The classical paper list with code about generative adversarial nets

aminur.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ashpy

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-python-books

:books: Directory of Python books

ciml

A Course in Machine Learning

cs231n.github.io

Public facing notes page

curated-ressources-dl-ml

:closed_book: Curated list of ressources for learning state-of-the-art deep learning and machine learning!

data-science-books-

A repository of books in data science

dcgan-lsgan-wgan-gp-dragan-tensorflow-2

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

deep-learning-crash-course-notebooks

Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"

deep-learning-drizzle.github.io

webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_for_vision_systems

This repository accompanies my forthcoming book "Deep Learning for Vision Systems"

deeplearningimplementations

Implementation of recent Deep Learning papers

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

free-python-books

Python books free to read online or download

gan-papers

GAN papers

gans-from-theory-to-production

Material for the tutorial: "Deep Diving into GANs: from theory to production"

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

my first repo, just for starting git tutorial

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

keras-gan

Keras implementations of Generative Adversarial Networks.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

machinelearning6.867

My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867

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