juanmc2005

import logging
import os
import sys
import traceback
from contextlib import contextmanager

import diart.operators as dops
import numpy as np
import rich
import rx.operators as ops

juanmc2005

#!/bin/bash
#SBATCH --job-name=<some_name>
#SBATCH --account=<some_account>    # optional, count job hours from this account
#SBATCH --ntasks=1                  # number of tasks (a single process here)
#SBATCH --gres=gpu:1                # number of GPUs (a single GPU here)
#SBATCH --cpus-per-task=4           # number of cores, mostly for data loader workers
#SBATCH --hint=nomultithread        # optional, restrict to physical cores and not logical ones
#SBATCH --time=20:00:00             # maximum execution time (HH:MM:SS)
#SBATCH --output=logs_%A_%a.out     # output file, %A is the id of the array job and %a is the number of the job in the array
#SBATCH --error=logs_%A_%a.out      # error file (same as output is fine)

juanmc2005

#!/bin/bash

# Sync project with remote server using rsync with exponential backoff.
# Just copy it to the root of the project and make sure rsync is installed before running.
#
# Why I use this script:
#  - sshfs doesn't play well with IntelliJ's file sync (IDE freezes quite often)
#  - pushing silly commits for debugging or running experiments is not a good practice
#
# I built this script to reduce my network traffic and be more efficient in my workflow.

juanmc2005

MIT License

Copyright (c) 2020 Juan Manuel Coria

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

juanmc2005

# Copyright 2017 Ravi Sojitra. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

juanmc2005

package com.example.juancoria.rxjavaplayground;

import java.util.concurrent.Callable;
import java.util.concurrent.TimeUnit;

import io.reactivex.Observable;
import io.reactivex.Single;
import io.reactivex.SingleObserver;
import io.reactivex.SingleSource;
import io.reactivex.android.schedulers.AndroidSchedulers;

juanmc2005

public interface Action {
    void run();
}

juanmc2005

module NeuralNet (newFeedForward, predict, train, layers, activation, loss) where

-- A Feed Forward Neural Network implementation

import Data.Matrix
import System.Random

type Layer = Matrix Double
type Delta = Matrix Double

juanmc2005

module Perceptron (newPerceptron, predict, train, weights, activation) where

-- A Perceptron implementation

type Weights      = [Float]
type Inputs       = [Float]
type LearningRate = Float
type Epochs       = Int
type ErrorValue   = Float