mikepapadim

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

TornadoVM

TornadoVM: A practical and efficient heterogeneous programming framework for managed languages

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aparapi

Official AMD Aparapi repository

aparapi-examples

A framework for executing native Java code on the GPU.

collage-non-tvm-fork

Collage non-forked version for POC

llama-shepherd-cli

A CLI to manage install and configure llama inference implemenation in multiple languages

llama2.tornadovm.java

An extension to Llama2.java implementation accelerated with GPUs, using TornadoVM

mikepapadim/llama-shepherd-cli

A CLI to manage install and configure llama inference implemenation in multiple languages

mikepapadim/llama2.tornadovm.java

An extension to Llama2.java implementation accelerated with GPUs, using TornadoVM

mikepapadim/collage-non-tvm-fork

Collage non-forked version for POC

mikepapadim/commitgpt

Automatically generate commit messages using ChatGPT

mikepapadim/devoxx2024

mikepapadim/fzf

:cherry_blossom: A command-line fuzzy finder

mikepapadim/gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

mikepapadim/java

Java bindings for TensorFlow

mikepapadim/Jlama

Jlama is a pure Java implementation of a LLM inference engine.

mikepapadim/jvm_allocation_ref

A toy application comparing primitive array allocation on heap with Panama off-heap memory segment allocation

mikepapadim/kernl

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

mikepapadim/Llama-2-Onnx

mikepapadim/llama2.c

Inference Llama 2 in one file of pure C

mikepapadim/llama2.java

Inference Llama 2 in one file of pure Java

mikepapadim/llama3.java

Practical Llama 3 inference in Java

mikepapadim/llamafile

Distribute and run LLMs with a single file.

mikepapadim/llm-apps-java-spring-ai

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

mikepapadim/mikepapadim

Github profile custom

mikepapadim/mlir-tutorial

mikepapadim/models

A collection of pre-trained, state-of-the-art models in the ONNX format

mikepapadim/rjvm

A tiny JVM written in Rust. Learning project

mikepapadim/sd4j

Stable diffusion pipeline in Java using ONNX Runtime

mikepapadim/Simple

A Simple showcase for the Sea-of-Nodes compiler IR

mikepapadim/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

mikepapadim/TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

mikepapadim/torchscript-to-tvm

mikepapadim/TornadoVM

Tornado: A practical and efficient heterogeneous programming framework for managed languages

mikepapadim/tutorials

Tutorials for creating and using ONNX models

mikepapadim/tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

mikepapadim/wasmtime

A fast and secure runtime for WebAssembly