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A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data
Advertising & Malware Blocking Module for Android (Magisk - KernelSU - APatch)
Fast and tiny expression evaluator with minimal syntax.
🥢 World Smallest, JSX based, Fine Grained Reactive UI Library.
A nanoGPT pipeline packed in a spreadsheet
A program that allows mounting Android smartphones as drives on Windows
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
C# port of @karpathy https://github.com/karpathy/llm.c
Large Language Model Text Generation Inference
Multi-Layer Key-Value sharing experiments on Pythia models
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
The full collection of all codes for my Youtube Channel segregated as per topic.
DSPy: The framework for programming—not prompting—foundation models
Python interactive dashboards for learning data science
Python & JS/TS SDK for adding code interpreting to your AI app
A minimal GPU design in Verilog to learn how GPUs work from the ground up
PyTorch extensions for high performance and large scale training.
Feed reader (and podcast player) which supports RSS/ATOM/JSON and many web-based feed services.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.