KAMONOHASHI / Kamonohashi
Licence: apache-2.0
AI開発プラットフォームKAMONOHASHI
Stars: ✭ 80
Projects that are alternatives of or similar to Kamonohashi
Tools To Design Or Visualize Architecture Of Neural Network
Tools to Design or Visualize Architecture of Neural Network
Stars: ✭ 1,143 (+1328.75%)
Mutual labels: deeplearning, machinelearning
Treelstm.pytorch
Tree LSTM implementation in PyTorch
Stars: ✭ 476 (+495%)
Mutual labels: deeplearning, machinelearning
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (+348.75%)
Mutual labels: deeplearning, machinelearning
Solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
Stars: ✭ 290 (+262.5%)
Mutual labels: deeplearning, machinelearning
Ai Series
📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
Stars: ✭ 702 (+777.5%)
Mutual labels: deeplearning, machinelearning
Tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+3888.75%)
Mutual labels: deeplearning, machinelearning
Onepanel
The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.
Stars: ✭ 428 (+435%)
Mutual labels: deeplearning, machinelearning
dst
yet another custom data science template via cookiecutter
Stars: ✭ 59 (-26.25%)
Mutual labels: machinelearning, deeplearning
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Stars: ✭ 684 (+755%)
Mutual labels: deeplearning, machinelearning
Deeplearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+8378.75%)
Mutual labels: deeplearning, machinelearning
barrage
Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.
Stars: ✭ 16 (-80%)
Mutual labels: machinelearning, deeplearning
Ludwig
Data-centric declarative deep learning framework
Stars: ✭ 8,018 (+9922.5%)
Mutual labels: deeplearning, machinelearning
Data-Scientist-In-Python
This repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-71.25%)
Mutual labels: machinelearning, deeplearning
Awesome Segmentation Saliency Dataset
A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄
Stars: ✭ 315 (+293.75%)
Mutual labels: deeplearning, machinelearning
Forecasting-Solar-Energy
Forecasting Solar Power: Analysis of using a LSTM Neural Network
Stars: ✭ 23 (-71.25%)
Mutual labels: machinelearning, deeplearning
Awesome Cybersecurity Datasets
A curated list of amazingly awesome Cybersecurity datasets
Stars: ✭ 380 (+375%)
Mutual labels: deeplearning, machinelearning
type4py
Type4Py: Deep Similarity Learning-Based Type Inference for Python
Stars: ✭ 41 (-48.75%)
Mutual labels: machinelearning, deeplearning
Groundbreaking-Papers
ML Research paper summaries, annotated papers and implementation walkthroughs
Stars: ✭ 90 (+12.5%)
Mutual labels: machinelearning, deeplearning
Monk v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
Stars: ✭ 480 (+500%)
Mutual labels: deeplearning, machinelearning
Neuropod
A uniform interface to run deep learning models from multiple frameworks
Stars: ✭ 858 (+972.5%)
Mutual labels: deeplearning, machinelearning
KAMONOHASHIは、Deep Learningのモデル開発を効率的に行うためのAI開発プラットフォームです。 Deep learningのモデル開発には、複雑な環境構・計算リソースの確保・大量に発生するデータや学習履歴の管理といった、煩雑な作業が多く存在します。KAMONOHASHIはこれらの作業を削減し、AI開発者がモデル開発に集中できる環境を提供します。
Getting Started
KAMONOHASHIのインストール方法を参照してください。
Contributing
KAMONOHASHIに関するバグレポートやリクエストは、Issueの作成による報告をお願いします。
License
Contact
KAMONOHASHI についてのお問合せは、下記よりお願いします。
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].