curiousily

AI-Bootcamp

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

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

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

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

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)

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

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

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.

Getting-Things-Done-with-Pytorch

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

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.

ragbase

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

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

curiousily/Getting-Things-Done-with-Pytorch

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

curiousily/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.

curiousily/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)

curiousily/AI-Bootcamp

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

curiousily/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

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

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

curiousily/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

curiousily/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.

curiousily/ragbase

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

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

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

curiousily/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

curiousily/Hackers-Guide-to-Deep-Learning

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

curiousily/tweetcrafter

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

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

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

curiousily/Reproducible-ML-with-DVC

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

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

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

curiousily/Logistic-Regression-with-TensorFlow-js

Predict diabetes disease using a Logistic Regression with TensorFlow.js

curiousily/Customer-Churn-Detection-with-TensorFlow-js

Customer churn prediction using Neural Networks with TensorFlow.js

curiousily/Linear-Regression-with-TensorFlow-js

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

curiousily/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.

curiousily/Be-a-Beast

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

curiousily/curiousily

curiousily/open_llama

curiousily/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

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

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

curiousily/dotfiles

curiousily/Getting-Started-with-TensorFlow-js

Tutorial on the basics of TensorFlow.js in the browser. Includes Tensors, visualization with tfjs-vis and building a simple model.

curiousily/object-detection-with-tensorflow-js

Created with CodeSandbox

curiousily/tfjs-data

curiousily/todo-list-embeddings

Created with CodeSandbox