Start Tensorboard in Jupyter Notebook
-
Updated
Jun 14, 2022 - Python
FFFF
Start Tensorboard in Jupyter Notebook
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
Implementation for the different ML tasks on Kaggle platform with GPUs.
This repository contains notebooks from the Coursera specialization TensorFlow: Data and Deployment.
Lab-Notebook on Python for Data Science (PyTorch, Keras and TensorFlow)
Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
ML/AI training/serving and agent sandbox operator and controller for Kubernetes
Public reusable components for Polyaxon
Start and stop tensorboard from a jupyter notebook, no more messing around with shell commands!
Collection of notebooks for Image classification
Some small data science tutorials
Multiple Jupyter Notebooks using TensorFlow Framework (Google's open source Deep Learning AI framework for machine learning and high performance numerical computation.)
Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.
some code/notebook examples
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
Notebook examples with tensorboard.dev
Implementation notebooks and scripts of the Deep Learning Nanodegree Foundations program.
A simple Jupyter notebook to visualize the results of RL experiments stored in Tensorboard log files with Matplotlib.
Add a description, image, and links to the tensorboard topic page so that developers can more easily learn about it.
To associate your repository with the tensorboard topic, visit your repo's landing page and select "manage topics."