Popular GitHub Repositories for Episode Rollout

This series uncovers the most valuable insights from groundbreaking books in AI, Machine Learning, and Data Science, helping you accelerate your learning journey. Each episode transforms complex theories into practical knowledge, making advanced topics more accessible and actionable.

Automatically generate engaging AI podcasts from nothing but an episode title.

A well-documented A2C written in PyTorch

Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.

Pipelines for generating large volumes of anonymous artificial data that share some of the characteristics of real NHS data

Utilizing webscraping and state-of-the-art NLP to generate TV show episode summaries.

The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (ICML 2024)

I came across an episode of silicon valley where “gilfoyle” creates a chatbot to talk to “Dinesh“, after that moment I realized what if I can do the same with my friends, can they differentiate between me and the chatbot, so to answer this question I have to build the bot. Finally, I built one that can talk to my friends and family members on whatsapp, the model is build using sequence to sequence model.

Sample Xamarin.Forms app used on an episode of the AI Show

In this episode, we look at creating an audio transcription service which allows files uploaded from Active Storage to be transcribed with Artificial Intelligence. However, there are a lot of considerations around the approach from both a performance and thread safety perspectives.

Reference repository for the O-Horizon Recommendation Engine featured in Neo4j Graphversation Episode 2

This repository contains the contents of a Master's degree in Cognitive Science thesis project concerned with assessing the generalizability of machine learning models for depression detection in transcribed clinical interviews with patients diagnosed with chronic and first-episode major depressive disorder (MDD).

利用生活方式和健康因素进行肥胖风险的多类别分类

Educational Selenium RL project: Train AI agents to navigate websites using Q-Learning. Complete implementation with Episode 100 achievement (129.73 reward). Learn reinforcement learning through practical web automation! ??

Podcast Summarizer: An application to summarize podcast episodes, making it easier to digest and reference key points discussed in each episode. Powered by AssemblyAI API for accurate transcription and summarization.

Podcast Summary & Q&A App is project takes podcast episodes from the Podcast Index, converts the audio into text, summarizes the content, generates an image based on the summary, translates the summary into French, and allows users to ask questions about the episode. ElevenLabs, HuggingFace, Replicate services are used

An LLM app to summarize a podcast episode, identifies podcast guests and attempts to retrieve the guest's public information from wikipedia, and identifies key highlights using OpenAI ChatGPT with prompting techniques

Predicting podcast episode listening time using machine learning for Kaggle's April 2025 Playground Series. Built models like Random Forest, LightGBM, and ExtraTrees with feature engineering and evaluation. Achieved strong validation RMSE performance.

associate with Steel Plate Defect Prediction Playground Series - Season 4, Episode 3

Interactive 3D visualization and recommendation system for episode embeddings, featuring BART and Transformer-based title generation experiments.