94 Open source projects that are alternatives of or similar to c2board

Simplify the training and tuning of Tensorflow models

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

Seamlessly integrate matplotlib figures as tensorflow summaries.

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.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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

a lightweight and simple logger for Machine Learning

A PyTorch Implementation of "Densely Connected Convolutional Networks"

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》)

Google Colab tutorial with simple network training and Tensorboard.

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

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

Recompile the library with caffe2 in pytorch stable(1.0) and re-implement the AICamera example provided by caffe2 officially.

TensorFlow template application for deep learning

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

A toolset for black-box hyperparameter optimisation.

Implementation of YoloV3 and Caffe in OpenCvSharp

Aggregate multiple tensorboard runs to new summary or csv files

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

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

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

A language-agnostic interface to TensorBoard

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

The repo is obsolete. Use at your own risk.

Code for Tensorflow Machine Learning Cookbook

Enable TensorBoard for TensorFlow Go API

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

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Tensorboard extension for jupyterlab.

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

Natural Language Processing with TensorFlow, published by Packt

Study and implementation about deep learning models, architectures, applications and frameworks

A TensorFlow & Deep Learning online course I taught in 2016

Show how to use Caffe2 in C++ through a simple LeNet sample project

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A Caffe2 implementation of the YOLO v3 object detection algorithm

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

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 complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

PyTorch Project Specification.

Chrome Extension of hiding empty scalar/panes in TensorBoard.

A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737

MuZero

A PyTorch implementation of alpha-GAN

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

No description or website provided.

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

Swift high-level API for TensorFlow.

CNN visualization tool in TensorFlow

Machine Learning Operator & Controller for Kubernetes

Convert image folder to lmdb, adapted from Efficient-PyTorch

Bridging caffe2 with yolo, esp on mobile devices

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

CNN model inference benchmarks for some popular deep learning frameworks

FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.

Public reusable components for Polyaxon