Venelin Valkov's repositories
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 BERT.
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)
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.
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
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
Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
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.
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
CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain
Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors.
Hackers-Guide-to-Deep-Learning
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
Reproducible-ML-with-DVC
Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC
todo-list-icon-classification-with-tensorflow-js
Use ReactJS and TensorFlow to suggest icons based on text in a ToDo list app
MasteryListGPT-Chat-with-your-ToDo-List-with-LangChain-and-ChatGPT
Streamlit app for scheduling habits and interacting with your schedule using ChatGPT and LangChain
Logistic-Regression-with-TensorFlow-js
Predict diabetes disease using a Logistic Regression with TensorFlow.js
AI-Bootcamp
Self-paced bootcamp on Generative AI, LLMs & AI Agents
Customer-Churn-Detection-with-TensorFlow-js
Customer churn prediction using Neural Networks with TensorFlow.js
ML-in-the-Browser-for-Hackers-with-TensorFlow-js
Machine Learning examples for beginners showing how to use TensorFlow.js in the browser
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
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
burglar-alarm-system-with-tensorflow-js-and-react
Use TensorFlow’s Object Detection model (COCO-SSD) to detect intruders from images and webcam feeds
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.
object-detection-with-tensorflow-js
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todo-list-embeddings
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