mlops

Geniusrise: Framework for building geniuses

7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamentals that the advanced concepts will be easy to understand.

Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.

Easiest way to use AI models without coding (Web UI & API support)

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).

[⛔️ DEPRECATED] Friendli: the fastest serving engine for generative AI

A comprehensive platform for managing, testing, and leveraging Ollama AI models with advanced features for customization, workflow automation, and collaborative development.

Production-grade AI evaluation, prompt management & observability SDK. Automated evaluations with sub-100ms guardrails. No human-in-the-loop required. Python + TypeScript.

This repository showcases my learning journey through various machine learning algorithms, deep learning concepts, and complete end-to-end data science projects.

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

Designing and Deploying LLM Pipelines

Your private AI companion that lives on your wrist. Complete local AI assistant with emotional intelligence.

AI Data Engineering Healthcare Platform: PySpark Medallion Lakehouse, Airflow DAGs, 5 ML Models, Local LLM RAG, and FastAPI Clinical Architecture.

Airflow Pipeline for Machine Learning

The Practical Machine Learning Course focuses on equipping learners with the essential skills and tools needed to apply machine learning techniques in real-world scenarios.

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional RouterOS switch monitoring, and per-model decode/prefill/TTFT/KV cards. Point it at your own hardware.

A comprehensive hands-on guide to building production-grade distributed applications with Ray - from distributed training and multimodal data processing to inference and reinforcement learning.

Serve Llama 3.3 70B (with AWQ quantization) using vLLM and deploy it on BentoCloud.