315 Open source projects that are alternatives of or similar to tf-matplotlib

Academics made Affordable.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

A Toolkit for Training, Tracking, Saving Models and Syncing Results

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Python library to visualize results from Likert scale survey questions

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

A fun study of some heuristics for the Travelling Salesman Problem.

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

Materials for the book "Python for Mechanical and Aerospace Engineering"

Start Tensorboard in Jupyter Notebook

Convert matplotlib contour plots to geojson

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Standalone TensorBoard for visualizing in deep learning

A curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams

How to use TensorLayer

Swift high-level API for TensorFlow.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

A visualization tool to show a TensorFlow's graph like TensorBoard

Build deep learning applications in a new and easy way.

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

Tensorboard for Caffe2

Produce publication-level quality images on top of Matplotlib

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

A bridge to provide the ability to Pharo user to use Python's Matplotlib.

No description or website provided.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A PyTorch Implementation of "Densely Connected Convolutional Networks"

PyTorch Project Specification.

Machine Learning Operator & Controller for Kubernetes

Simplify the training and tuning of Tensorflow models

Enable TensorBoard for TensorFlow Go API

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

TensorFlow template application for deep learning

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

A PyTorch implementation of alpha-GAN

Context geo-tiles in Python

a lightweight and simple logger for Machine Learning

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing

Kaggle Struggle

A toolset for black-box hyperparameter optimisation.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Topic modelling on financial news with Natural Language Processing

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Material for a 24 hours course on Scientific Python

📊 Some python scripts which can visualize several famous sorting algorithms and generate the animations via Matplotlib.

Aggregate multiple tensorboard runs to new summary or csv files

Decode CINRAD (China New Generation Weather Radar) data and visualize.

GUI for OPEM library

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

A (new) cairo backend for Matplotlib.

Interactive simulation of a quantum particle in 1D.

A library to create interactive maps of geographical datasets

(UNMAINTAINED) Fetch data of any public Instagram profile, without using api

Computational Neuroscience Crash Course (CNCC 2019)

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training