Boian Petkantchin's repositories

faqap

Algorithm for approximately solving quadratic assignment problems.

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quirks

Perks mod for Battle Brothers

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battle_fatigue

Battle Brothers mod adding battle fatigue.

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growing_talent

Battle Brothers mod for character talents growing instead of being fixed.

AllocatorBuilder

Policy Based C++ Allocator Library

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alpa

Auto parallelization for large-scale neural networks

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and_justice_for_all

Mod for Battle Brothers rebalancing perks and attributes.

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byteir

ByteIR

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clang-format-hooks

Apply a coding style with clang-format only to new code added to an existing code base.

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clgpustress

Heavy OpenCL GPU stress tester

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CompilerGym

A reinforcement learning toolkit for compiler optimizations

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date

A date and time library based on the C++11/14/17 <chrono> header

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libreuse

Battle Brothers library mod with useful functions

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llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

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mmperf

MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.

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nod-ai-base-docker-images

Utility repository for publishing docker images that we depend on.

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openxla-xla

A machine learning compiler for GPUs, CPUs, and ML accelerators

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ROCm

AMD ROCm™ Software - GitHub Home

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SHARK

SHARK - High Performance Machine Learning for CPUs, GPUs, Accelerators and Heterogeneous Clusters

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SHARK-Runtime

Nod.ai 🦈 version of 👻 . You probably want to start at https://github.com/nod-ai/shark

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SHARK-Turbine

Unified compiler/runtime for interfacing with PyTorch Dynamo.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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tensorflow-cmake

Install TensorFlow and make it available to be included in CMake projects.

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TheRock

The HIP Environment and ROCm Kit - A lightweight open source build system for HIP and ROCm

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torch-mlir

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

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