Google Colab Notebooks Collection

Example notebooks using BlazingSQL with the RAPIDS AI ecoystem.

This repository contains the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

This is a notebook from kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2.

ML code in Python

This is a notebook from Kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2 that has been slightly modified to use arpabet to help the model enunciate words better when synthesizing.

Run Jupyter notebooks on GPUs in Puzl cloud using Kubernetes

Efficient b7 Training, Transfer Learning

Docker image for Deep Learning used at @koto-bank Contains Tensorflow, Keras, PyTorch, OpenCV and a few Python ML libraries.

This is a notebook from kaggle I had made that allows user's to refine and clean up their tacotron 2 models in terms of the audio output. In order to use this notebook you'll require a Tacotron 2 model fully trained, with the dataset used and the transcription and/or validation file too.

This docker builds an image that includes TensorFlow/ Keras based on GPU, Jupyter notebook, and root access to the shell via SSH while Jupyter is running.

This is a setup page for using camera with GPU access. This can be implemented either in a notebook on the cloud or in a local machine.

AlphAI is a versatile Python toolkit for GPU profiling and analytics, supporting various tensor models. It enhances GPU server operations and serves as a client for American Data Science's notebook servers.

Kubeflow GPU Notebook Container Image

GPU Logger for jupyter/ipython (memory usage, execution time)

Terraform Provider Iterative + Jupyter + TensorBoard + AWS/Azure/GCP/K8s

Currently this is not working as the repo used to make the notebook work is under-development, This is a notebook from Kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2 which has been further developed and worked on by the team a…

Jupyter Notebook with Tensorflow, Pytorch and Keras with GPU support

Fine-tune BERT for sentiment analysis. I have done text preprocessing (special tokens, padding, and attention masks) and build a Sentiment Classifier using the amazing Transformers library by Hugging Face! I have train my model on kaggle notebook on gpu. The model give the accuracy of 95.14% on validation dataset.

Dockerized TensorFlow with GPU support Image, python library with Jupyter environments enabled ready