TharinduRusira

Tharindu Rusira's repositories

pca

Principal Component Analysis for Apache Mahout

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matrix-sse

Optimizing Matrix and Vector operations using Streaming SIMD Extensions available on x86 architecture

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mcp1

Source code for Many/Multi Core Programming module

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ParallelMatrix

Optimizing matrix multiplication problem by explicit parallelization using OpenMP and cache optimization using improved spatial locality

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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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pymlir

Python interface for MLIR - the Multi-Level Intermediate Representation

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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tensorflow

An Open Source Machine Learning Framework for Everyone

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advancedcompilers

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arithmeticdfa

A deterministic finite automata to accept simple arithmetic expressions implemented in Java and Prolog

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bibliography

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C-

Basic compiler to parse C- language description

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calc-compiler

tiny language compiler for class

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chill-dev

CHiLL development repository

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CHiLLsuper

super-scripts provide parameterized access to CHiLL's composable loop transformations

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Cryptanalysis

source codes used for cryptanalysis, code breaking and other research work regarding cryptography

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DFAEngineForAlgebraicExpressions

The Programming Language Assignment

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G2SageMath

Integrating Google spreadsheets to Sage math library

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GPT3

An implementation of the base GPT-3 Model architecture from the paper by OPENAI "Language Models are Few-Shot Learners"

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Hadoop

tests, experiments, trials and errors, fun and fights and many more with Apache Hadoop

Apache-2.0020

llvm

Mirror of official llvm git repository located at http://llvm.org/git/llvm. Updated every five minutes.

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ML

Machine Learning implementations/experimental code repository

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mlirx

MLIRX is a LLVM fork with a strict superset of its MLIR component upstream. It is always meant to be in sync with upstream LLVM, and includes non-trivial extensions to MLIR meant for advanced research and experimentation. LLVM project components other than MLIR almost never deviate from upstream, and if they do, by only a commit or so.

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