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Modern Computer Vision with PyTorch, 2E, Published by Packt
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Robust Speech Recognition via Large-Scale Weak Supervision
Confluent's Kafka Python Client
DSPy: The framework for programming—not prompting—language models
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 600+ plugins. Alternative to Airflow, n8n, Rundeck, VMware vRA, Zapier ...
Datasets used in the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
🎓 Path to a free self-taught education in Computer Science!
A Python package to assess and improve fairness of machine learning models.
Code repository for the book SQL for Data Analysis
Code I wrote for my AI & LLM workshops
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
🐢 Open-Source Evaluation & Testing for AI & LLM systems
CoreNet: A library for training deep neural networks
scikit-learn: machine learning in Python
Open source AI coding agent. Designed for large projects and real world tasks.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media