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CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig
Continuous Thought Machines, because thought takes time and reasoning is a process.
Minimal and annotated implementations of key ideas from modern deep learning research.
A minimalistic framework for transparently training language models and storing comprehensive checkpoints for in-depth learning dynamics research.
A full attention mechanism and transformer in pure go.
Induce brain-like topographic structure in your neural networks
Org Novelist is a system for writing novel-length fiction using Emacs Org mode.
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
Implement 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.
An efficient C++20 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.
Foundation Models for Genomics & Transcriptomics
zanussbaum / gpt4all.cpp
Forked from antimatter15/alpaca.cppLocally run an Assistant-Tuned Chat-Style LLM