zakiindra

{
  "id": 1,
  "title": "Inception",
  "description": "A thief who enters the dreams of others to steal secrets from their subconscious.",
  "genre": "Sci-Fi",
  "rating": "PG-13",
  "duration_minutes": 148,
  "release_date": "2010-07-16",
  "poster_url": "https://i.ebayimg.com/00/s/MTYwMFgxMDk3/z/LlUAAOSwm8VUwoRL/$_57.JPG?set_id=880000500F",
  "trailer_url": "https://www.youtube.com/embed/YoHD9XEInc0?si=zuo_jxKgMoyfmpYE",

zakiindra

#!/bin/env python
import argparse

import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)

import torch
import nni
import pytorch_lightning as pl

zakiindra

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

zakiindra

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

zakiindra

SSRLCV Compile and Run in CUDA Cluster

1. Connect to any cluster with GPU.

2. Clone SSRLCV and SSRLCV-Sample-Data repo.

   git clone https://github.com/uga-ssrl/SSRLCV.git
   git clone https://github.com/uga-ssrl/SSRLCV-Sample-Data.git

zakiindra

Array

• Two Sum
• Best Time to Buy and Sell Stock
• Contains Duplicate
• Product of Array Except Self
• Maximum Subarray
• Maximum Product Subarray
• Find Minimum in Rotated Sorted Array

zakiindra

zakiindra

import numpy as np
import torch

# 9 data points: one x1 x2 y
xy = np.matrix ([
[1.0,  0.0,  0.0,  0.5],
[1.0,  0.0,  0.5,  0.3],
[1.0,  0.0,  1.0,  0.2],
[1.0,  0.5,  0.0,  0.8],
[1.0,  0.5,  0.5,  0.5],

zakiindra

x = dict()

def update(x, id, location, time):
    locs = x.get(id)
    if (locs is None):
        locs = dict()
        locs[location] = [time]
        x[id] = locs
    else:
        times = locs.get(location)

zakiindra

8
4
3