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50projects50days

50+ mini web projects using HTML, CSS & JS

advancedmachinelearning

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-deep-learning

Applied Deep Learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bayesplot

bayesplot R package for plotting Bayesian models

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

blankly

🚀 💸 Trade stocks, cryptos, and forex w/ one package. Easily build, backtest, trade, and deploy across exchanges in a few lines of code.

block-webapp

blog_flask

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

clean-code-notes

My notes of Clean Code book

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!

course-nlp

A Code-First Introduction to NLP course

coursera-generative-ai-large-language-models

Cousera - Generative AI with Large Language Models (LLMs) Notes

cs-video-courses

List of Computer Science courses with video lectures.

data_eng_airflow_etl

This project demonstrates the construction of an end-to-end Python ETL (Extract, Transform, Load) pipeline using AWS services. The pipeline is designed to extract Toronto real estate property data from the Zillow Rapid API and process it through various AWS components, such as EC2, S3, Lambda, Redshift, and QuickSight

datascience-jhks

datasharing

The Leek group guide to data sharing

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-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning-rnn

Experiments

deeplearningtutorial

Tutorial on a number of topics in Deep Learning

devops-directive-docker-course

Companion repo for complete Docker course