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A machine learning compiler for GPUs, CPUs, and ML accelerators
Borgo is a statically typed language that compiles to Go.
Source code for the Online-Go.com web interface
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
k/simple is a bare minimum k interpreter for learning purposes by arthur whitney
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
Google calendar to org-mode file written in Golang.
An efficient C++17 GPU numerical computing library with Python-like syntax
List of papers studying machine learning through the lens of category theory
An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
A two-dimensional, hexagonal programming language.
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
zanussbaum / gpt4all.cpp
Forked from antimatter15/alpaca.cppLocally run an Assistant-Tuned Chat-Style LLM
Code to use streamdeck lib and tie in obs/mqtt/other things
Performance-portable, length-agnostic SIMD with runtime dispatch
Somewhat hacky script to automate building of Emac.app on macOS.
🚀 fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.
Aspect Definition Language. A powerful and succinct replacement for XML, JSON, YAML, etc.
C++ Unicode library for Array and String, Regexp and PEG parsing, using ref-counted slices with value semantics