AI-powered pregnancy risk assessment app that classifies pregnancy symptom risks using a medical knowledge base using Google Gemini + RAG + Streamlit

In this repository I will be fine-tuning the different open source models and will test them out on the different datasets

Efficient data synchronization and conflict-resolution engine enables intelligent incremental-refresh operations across scalable distributed systems platform.

A curated list of AI-powered coding tools

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Attention is all you need implementation

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

In this repository, I will be implementing various machine learning algorithms from scratch to deepen my understanding of their inner workings. Instead of relying on libraries like scikit-learn, I …

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The AI Code Editor

Free MLOps course from DataTalks.Club

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Welcome to my journey of learning and practicing Data Structures and Algorithms (DSA)! This repository serves as a collection of my notes, practice problems, solutions, and concepts related to DSA. 💡

12 Lessons to Get Started Building AI Agents

Lectures on scientific computing with python, as IPython notebooks.

This repository contains everything you need to become tech interview Ready with most important tips and techniques

I will be starting and completing Andrej Karpathy's "Neural Networks: Zero to Hero" YouTube playlist. This repository will contain my implementations and notes as I progress through the series.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Contains Solutions to Deep Learning Specailization - Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Neural Networks: Zero to Hero

Simple, unified interface to multiple Generative AI providers

An Introduction to Machine Intelligence for Architects and other Nonengineers

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Efficient Triton Kernels for LLM Training

📺 Discover the latest machine learning / AI courses on YouTube.