ameerhajali Goto Github PK

ameerhajali.github.io

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

code2vec_c

cpp-worker-api

halide

a language for fast, portable data-parallel computation

joblib

Computing with Python functions.

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

neuro-vectorizer

NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops in C and C++ codes.

neurovectorizer

NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops in C and C++ codes.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

ray-templates

ray2

scikit-learn

scikit-learn: machine learning in Python

sklearn-ray

Some benchmarks for using Ray's implementation of joblib backend to distribute scikit-learn training.

subscription-starter

systolic-rocc-tests

Fork of seldridge/rocket-rocc-examples with tests for a systolic array based matmul accelerator

tortoise-tts

A multi-voice TTS system trained with an emphasis on quality