Code Monkey home page Code Monkey logo

Hi there πŸ‘‹

πŸ‘¨β€πŸ’» I'm a Machine Learning Software Engineer at Meta ♾️

πŸ“« How to reach me? Email me at [email protected]

Twitter URL Profile View Counter

Your Repository's Stats

Soheil Esmaeilzadeh's Projects

annpso icon annpso

Using Particle Swarm Optimization to train Neural Networks

contextualized-topic-models icon contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

espcn icon espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

image_segmentation icon image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

me-net icon me-net

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

neuspell icon neuspell

NeuSpell: A Neural Spelling Correction Toolkit

nn icon nn

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

pix2depth icon pix2depth

DEPRECATED: Depth Map Estimation from Monocular Images

space_time_pde icon space_time_pde

MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution

superresolution_gan icon superresolution_gan

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

trcopo icon trcopo

This repository contains all code and experiments for Trust region Competitive policy optimization (TRCoPO) algorithm.

unet icon unet

unet for image segmentation

wikipage_recommender icon wikipage_recommender

This repo presents a content-based recommendation framework for recommending Wikipedia pages to users

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.