Romani Isa
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“What I cannot create, I do not understand.” — Richard Feynman
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🐍This is a fast, lightweight, and clean CPython extension for the Byte Pair Encoding (BPE) algorithm, which is commonly used in LLM tokenization and NLP tasks.
The General Term Formula of the Fibonacci Sequence and Linear Algebra
A pytoch-like autograd engine.
A small, elegant and visulized implementation of reverse mode autograd that is distinct from Karpathy's micrograd. Zero dependency.
A very simple implementation of symbolic differentiation.
A lightweight C library for converting between UTC time and 32-bit unsigned timestamps starting from 2000-01-01 00:00:00.
Repositories
19A lightweight C library for converting between UTC time and 32-bit unsigned timestamps starting from 2000-01-01 00:00:00.
Introduce myself
Matplotlib styles for academic plotting
Simple implementation of the Radix-2 DIT FFT algorithm
Flash Attention Triton kernel with support for second-order derivatives
No description provided.
A clean C code implementation for Madgwick's IMU and AHRS algorithm.
Einstein-Inspired Notation and Tensor Diagram Notation
翻译和一些读书笔记
🐍This is a fast, lightweight, and clean CPython extension for the Byte Pair Encoding (BPE) algorithm, which is commonly used in LLM tokenization and NLP tasks.
The General Term Formula of the Fibonacci Sequence and Linear Algebra
A pytoch-like autograd engine.
A fast implementation of Aho-Corasick in Rust.
s1: Simple test-time scaling
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
A small, elegant and visulized implementation of reverse mode autograd that is distinct from Karpathy's micrograd. Zero dependency.
No description provided.
A very simple implementation of symbolic differentiation.
A deep learning library built from scratch with complex neural networks examples built on top for learning purposes.