apoorvnandan

import numpy as np
import math
np.random.seed(423)

# code for the environment
class CartPoleEnv:
    def __init__(self):
        # Environment parameters
        self.gravity = 9.8
        self.masscart = 1.0

apoorvnandan

# inspired by micrograd and tinygrad

import numpy as np

class Tensor:
    def __init__(self, data, name=''):
        self.data = np.array(data)
        self.grad = np.zeros_like(self.data)
        self.parents = []
        self.op = ''

apoorvnandan

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

apoorvnandan

document.getElementById("editor").addEventListener("keydown", function (event) {
    // Check if Enter is pressed without the Ctrl key
    if (event.key === "Enter" && !event.ctrlKey) {
        event.preventDefault();
    }

    // Check if both Ctrl and Enter are pressed
    if (event.ctrlKey && event.key === "Enter") {
        event.preventDefault();

apoorvnandan

class ProgressBar:
    def __init__(self, total, desc='', width=10):
        self.total = total
        self.width = width
        self.header = f"{desc}: " if len(desc) > 0 else ''
        self.i = 0
        self.__print_progress()
        
    def __print_progress(self):
        p = round((self.i*self.width) / self.total)

apoorvnandan

##
# usage: 
# 1. Add '#export' as the first line of the cells you want to export.
#    This script will ignore all other cells.
# 2. $python convert_nb_script.py -n sample.ipynb > sample_script.py
#
# You can use other tags to selectively export other cells
# eg. Add tag #test to the cells containing unit tests
# python convert_nb_script.py -n sample.ipynb -t test > unit_tests.py
##

apoorvnandan

def prefix_beam_search(ctc, 
                             alphabet, 
                             blank_token, 
                             end_token, 
                             space_token, 
                             lm, 
                             k=25, 
                             alpha=0.30, 
                             beta=5, 
                             prune=0.001):

apoorvnandan

def create_spectrogram(signals):
    stfts = tf.signal.stft(signals, fft_length=256)
    spectrograms = tf.math.pow(tf.abs(stfts), 0.5)
    return spectrograms

apoorvnandan

class ASR(tf.keras.Model):
    def __init__(self, filters, kernel_size, conv_stride, conv_border, n_lstm_units, n_dense_units):
        super(ASR, self).__init__()
        self.conv_layer = tf.keras.layers.Conv1D(filters,
                                                 kernel_size,
                                                 strides=conv_stride,
                                                 padding=conv_border,
                                                 activation='relu')
        self.lstm_layer = tf.keras.layers.LSTM(n_lstm_units,
                                               return_sequences=True,

apoorvnandan

class Cache:
    '''
    class to cache the probability values while performing prefix beam search
    '''
    def __init__(self):
        self.data = {}
    
    def add(self, key1, key2, value):
        if key1 not in self.data:
            self.data[key1] = {}