Venelin Valkov

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

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.

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)

AI-Bootcamp. Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

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

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

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.

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

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

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

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

MasteryListGPT-Chat-with-your-ToDo-List-with-LangChain-and-ChatGPT. Streamlit app for scheduling habits and interacting with your schedule using ChatGPT and LangChain

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

How-to-Predict-Bitcoin-Prices-using-LSTMs-in-Keras. Jupyter Notebook

Logistic-Regression-with-TensorFlow-js. Predict diabetes disease using a Logistic Regression with TensorFlow.js

chefskiss. Local (with Ollama and Agent Development Kit) agent application for suggesting recipes based on user preferences and dietary restrictions

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

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

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

dissertation. Jupyter Notebook

curiousily.

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

open_llama.

dotfiles. Shell

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

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

trackme. Track profile/personal activities of others. University related project

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

curvy. 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

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

learn-stats. Stats learning playground

ml. Python