salmaneunus27 Goto Github PK

16s-metagenomics-analysis-with-qiime-2

Paired End Sequence Analysis

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adil-test

THIS IS TEST REPOSITORY for an online course on coursera in HTML,CSS AND JS conducted by John Hopkins University

appointment-management-system

It contains all my HTML , CSS and PHP codes of a project

awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

awesome-deep-learning-4-life-sciences

A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

basic-robotics-tutorial-codes

best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

bioinformatics-data-science-skills

Supplementary files for my book, "Bioinformatics Data Skills"

bioinformatics-with-python-cookbook-third-edition

Bioinformatics with Python Cookbook, Third Edition

biotite

A comprehensive library for computational molecular biology

booknlp

BookNLP, a natural language processing pipeline for books

c-sharp-and-unity-projects

All codes in C# and Unity

ceir

Code for Novel Receipt Recognition with Deep Learning Algorithms

classification_models

Classification models trained on ImageNet. Keras.

codechef-problem-solving

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cs224u

Code for Stanford CS224u

cse713

cse999

cutie

CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)

deep-learning-for-genomics-

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-tf

deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

deeplearninglifesciences

Example code from the book "Deep Learning for the Life Sciences"

dlwpt-code

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