ovrnt

#!/bin/bash

# Verify if GPU is CUDA-enabled
lspci | grep -i nvidia

# Remove previous NVIDIA driver installation
sudo apt-get purge nvidia* -y
sudo apt remove nvidia-* -y
sudo rm /etc/apt/sources.list.d/cuda* -y
sudo apt-get autoremove && sudo apt-get autoclean -y

rasbt

# Sebastian Raschka 09/24/2022
# Create a new conda environment and packages
#   conda create -n whisper python=3.9
#   conda activate whisper
#   conda install mlxtend -c conda-forge

# Install ffmpeg
# macOS & homebrew
#   brew install ffmpeg
# Ubuntu

paddymccrudden

import numpy as np
from numpy.linalg import solve
import logging
logging.basicConfig(level = logging.DEBUG)
from scipy.stats import moment,norm

def fleishman(b, c, d):
    """calculate the variance, skew and kurtois of a Fleishman distribution
    F = -c + bZ + cZ^2 + dZ^3, where Z ~ N(0,1)
    """

logancyang

class Leaf {
  constructor() {
    this.pos = createVector(random(width), random(height));
    this.reached = false;
  }

  show() {
    fill(255, 255, 0);
    noStroke();
    ellipse(this.pos.x, this.pos.y, 8, 8);

AFAgarap

GerardBCN

GerardBCN

yang-zhang

HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

bshishov

import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted