curiousily/Getting-Things-Done-with-Pytorch

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curiousily/Getting-Things-Done-with-Pytorch

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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Get SH*T Done with PyTorch

Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

Read the book here

📖 Read for FREE

The whole book can be read using the links below. Each part contains a notebook that you can find in this repository.

Consider buying the book if you want to support my work. Thanks for stopping by! 🤗

Get-Things-Done-with-Prompt-Engineering-and-LangChain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

Jupyter Notebook

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)

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Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

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Deploy-BERT-for-Sentiment-Analysis-with-FastAPI

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Jupyter Notebook

Machine-Learning-from-Scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Jupyter Notebook

AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, Fine-tuning Llama 3 & AI Agents (CrewAI)

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CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain

Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors.

Deploy-Keras-Deep-Learning-Model-with-Flask

Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine

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Hackers-Guide-to-Deep-Learning

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

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percipio

Easy Data science (Machine learning) in JavaScript & Node (Multi-armed bandits, Naive Bayes)

Reproducible-ML-with-DVC

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

MasteryListGPT-Chat-with-your-ToDo-List-with-LangChain-and-ChatGPT

Streamlit app for scheduling habits and interacting with your schedule using ChatGPT and LangChain

todo-list-icon-classification-with-tensorflow-js

Use ReactJS and TensorFlow to suggest icons based on text in a ToDo list app

How-to-Predict-Bitcoin-Prices-using-LSTMs-in-Keras

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tweetcrafter

Write tweets with AI Agents (CrewAI) and LLMs (Llama 3, GPT-4o)

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Logistic-Regression-with-TensorFlow-js

Predict diabetes disease using a Logistic Regression with TensorFlow.js

ragbase

Completely local RAG (with open LLM) and UI to chat with your PDF documents. Uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

ML-in-the-Browser-for-Hackers-with-TensorFlow-js

Machine Learning examples for beginners showing how to use TensorFlow.js in the browser

Customer-Churn-Detection-with-TensorFlow-js

Customer churn prediction using Neural Networks with TensorFlow.js

mcmc-football-prediction

Predict football season outcomes using MCMC simulations

Linear-Regression-with-TensorFlow-js

Build a Linear Regression model using TensorFlow.js and use to predict house prices

Simple-Neural-Network-with-TensorFlow-js

Build a simple Neural Network model in TensorFlow.js to make a laptop buying decision. Learn why Neural Networks need activation functions and how should you initialize their weights.

Be-a-Beast

The No BS guide to get strong, lose fat and build muscle

dissertation

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simple-quiz

True/false quiz for Android/iOS written in Cocos2d-x

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trackme

Track profile/personal activities of others. University related project

glow-flow

Puzzle game (similar to Flow) for iOS/Android written in Cocos2d-x

white-tile

Fun puzzle/arcade game for iOS/Android written in Cocos2d-x

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University related project

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Stats learning playground

alien-vs-predator-tensorflow-js-classification

Build a simple Convolutional Neural Network with TensorFlow.js and use it to classify images of Aliens and Predators

storable

Store Manager. Example using WPF, Entity Framework 4.2 and other stuff. University related project

burglar-alarm-system-with-tensorflow-js-and-react

Use TensorFlow’s Object Detection model (COCO-SSD) to detect intruders from images and webcam feeds