Projects in Awesome Lists by curiousily

https://github.com/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

anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo

Last synced: 06 Nov 2024

https://github.com/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

anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo

Last synced: 14 Oct 2024

https://github.com/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.

artificial-intelligence chatgpt deep-learning gpt-4 gpt4 langchain language-models large-language-models llama2 openai prompt-engineering python

Last synced: 24 Oct 2024

https://github.com/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.

artificial-intelligence chatgpt deep-learning gpt-4 gpt4 langchain language-models large-language-models llama2 openai prompt-engineering python

Last synced: 10 Oct 2024

https://github.com/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)

anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting

Last synced: 10 Oct 2024

https://github.com/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)

anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting

Last synced: 02 Aug 2024

https://github.com/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

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 10 Oct 2024

https://github.com/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

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 25 Oct 2024

https://github.com/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

android deep-learning lstm tensorflow tensorflow-tutorial

Last synced: 10 Oct 2024

https://github.com/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

android deep-learning lstm tensorflow tensorflow-tutorial

Last synced: 06 Nov 2024

https://github.com/curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI

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

bert deep-learning deploy-machine-learning deployment fastapi huggingface huggingface-transformer machine-learning python pytorch rest rest-api sentiment-analysis transformers uvicorn

Last synced: 13 Aug 2024

https://github.com/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.

artificial-intelligence book classification data-science machine-learning machine-learning-algorithms neural-networks notebook recommender-systems regression reinforcement-learning sentiment-analysis

Last synced: 08 Aug 2024

https://github.com/curiousily/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.

langchain llama3 llm pdf rag retrieval-augmented-generation streamlit