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aroraakshit / softmax.py
Created March 30, 2019 21:13 — forked from Hasil-Sharma/softmax.py
Vectorized softmax calculation using numpy
import numpy as np
def softmax(x):
""" Compute the softmax for each row of the input x
Arguments:
x -- A N dimensional veector or M X N dimensional numpy matrix.
Return:
x -- modified x in-place
"""
name: rapids012
channels:
- rapidsai
- nvidia
- conda-forge
- defaults
- numba
dependencies:
- python=3.6
- cudatoolkit=10.1
@aroraakshit
aroraakshit / gpu_dataproc_packages.sh
Last active April 7, 2021 00:16
Assumes 2xT4 GPUs are attached to an ubuntu based image.
#!/bin/bash
OS_NAME=$(lsb_release -is | tr '[:upper:]' '[:lower:]')
readonly OS_NAME
OS_DIST=$(lsb_release -cs)
readonly OS_DIST
CUDA_VERSION='10.2'
readonly CUDA_VERSION
readonly DEFAULT_NVIDIA_DEBIAN_GPU_DRIVER_VERSION='460.56'
@aroraakshit
aroraakshit / custom_gpu_init_actions.sh
Created April 7, 2021 00:41
Custom GPU init actions
#!/bin/bash
# Dataproc configurations
readonly HADOOP_CONF_DIR='/etc/hadoop/conf'
readonly HIVE_CONF_DIR='/etc/hive/conf'
readonly SPARK_CONF_DIR='/etc/spark/conf'
function execute_with_retries() {
local -r cmd=$1
for ((i = 0; i < 10; i++)); do
@aroraakshit
aroraakshit / vani.md
Last active April 29, 2024 09:37
Team vani
@aroraakshit
aroraakshit / mmits_vc_nvidia.md
Created January 10, 2024 05:41
Team NVIDIA's submission at MMITS-VC Challenge for ICASSP 2024

ICASSP 2024 MMITS-VC CHALENGE SUBMISSION FOR NVIDIA: SCALING NVIDIA’S MULTI-SPEAKER MULTI-LINGUAL TTS SYSTEMS WITH VOICE-CLONING TO INDIC LANGUAGES

Speaker Initial data points Duplicates, empty audio or transcripts Final data points Initial Durations of final data points (hours) Final Durations after silence removal (hours)
Hindi_M 17798 1 17797 40.49 39.63
Hindi_F 16512 29 16483 40.21 38.16
Telugu_M 16939 0