Mostafa Elhoushi (mostafaelhoushi)

mostafaelhoushi

Geek Repo

Company:@Facebook

Location:Toronto, ON

Home Page:linkedin.com/in/mostafaelhoushi

Twitter:@m_elhoushi

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Mostafa Elhoushi's repositories

DeepShift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

FOS

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

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tensor-decompositions

Implementation of various tensor decomposition methods: Spatial, Channel, Tucker, CP, Network Decouple

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Graph-MLPMixer

Repository for Graph MLP-Mixer

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APoT_Quantization

PyTorch implementation for the APoT quantization (ICLR 2020)

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awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

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banana-navigation

Project 1 of Udacity's Deep Reinforcement Learning Nanodegree

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CompilerGym

A reinforcement learning toolkit for compiler optimizations

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CompilerGymExamples

Example environments and scripts utilizing CompilerGym

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continuous-control

Project 2 of Udacity's Deep Reinforcement Learning Nanodegree

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Decompose-CNN

CP and Tucker decomposition for Convolutional Neural Networks

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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FOS-Python

Implementation of Fast Orthogonal Search (FOS) Algorithm in Python

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FTWT

Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction

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functorch

functorch is JAX-like composable function transforms for PyTorch.

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glow

Compiler for Neural Network hardware accelerators

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gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

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INQ-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

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Ithemal

Instruction THroughput Estimator using MAchine Learning (ITHEMAL)

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network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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OLLA

Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

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pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

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rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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tensorflow-addons

Forked repo of tensorflow-addons

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torchtune

A Native-PyTorch Library for LLM Fine-tuning

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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