eknag/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Personal repo for misc small cude experiments
Distributed ridge regression
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Inference code for LLaMA models
Hackable and optimized Transformers building blocks, supporting a composable construction.
An implementation of a deep learning recommendation model (DLRM)
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Plug and play modules to optimize the performances of your AI systems 🚀
Library for Variational Autoencoder benchmarking
Learning Golang by making a simple decision tree
Experimenting by self hosting a Jekyll site on a personal Ubuntu machine.