npatta01 / Web Deep Learning Classifier
Licence: mit
Deep Learning model to classify food (Web App)
Stars: ✭ 112
Projects that are alternatives of or similar to Web Deep Learning Classifier
E2e Ml App Pytorch
🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).
Stars: ✭ 68 (-39.29%)
Mutual labels: heroku, jupyter-notebook
Firstcoursenetworkscience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Elevation
End-to-end guide design for CRISPR/Cas9 with machine learning
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Ml Examples
Examples of machine learning, with an emphasis on deep learning.
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
2048 Api
Educational API for developing ML (imitation learning or reinforcement learning) agents to play game 2048
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Wechat Zhihu Csdnblog Code
WeChat Official Accounts, zhihu and CSDN'blog code
Stars: ✭ 112 (+0%)
Mutual labels: jupyter-notebook
Silero Vad
Silero VAD: pre-trained enterprise-grade Voice Activity and Number Detector
Stars: ✭ 108 (-3.57%)
Mutual labels: jupyter-notebook
Azure Workshop
Collection of resources related to predictive modeling, Azure ML Studio, and the Cortana Intelligence suite.
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Intelaiworkshop
Documentation and sample codes for Intel AI Workshop
Stars: ✭ 110 (-1.79%)
Mutual labels: jupyter-notebook
Fcc nn research
(somewhat) cleaned-up notebooks used in researching public comments for FCC Proceeding 17-108 (Net Neutrality Repeal)
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Quantecon.notebooks
Jupyter notebooks contributed by QuantEcon developers, users and the community
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Deep Learning Language Model
A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Qwiklabs
labs guide for completing qwiklabs challenge
Stars: ✭ 103 (-8.04%)
Mutual labels: jupyter-notebook
Deeplearning.ai Pytorch
PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Deeplearning.ai
Materials from deeplearning.ai course on Coursera
Stars: ✭ 111 (-0.89%)
Mutual labels: jupyter-notebook
Workshops
A few exercises for use at events.
Stars: ✭ 1,460 (+1203.57%)
Mutual labels: jupyter-notebook
Bertqa Attention On Steroids
BertQA - Attention on Steroids
Stars: ✭ 112 (+0%)
Mutual labels: jupyter-notebook
Deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Stars: ✭ 106 (-5.36%)
Mutual labels: jupyter-notebook
Training the Image Classifier & Creating a Web App
Our example: Food Images Classifier
Citation Note
If you do use our blog or GitHub repos to create your own web or mobile app, we would appreciate it if you would give our work attribution by sharing the below citation:
Pattaniyil, Nidhin and Shaikh, Reshama, Deploying Deep Learning Models On Web And Mobile, 2019
This project was completed jointly by Nidhin Pattaniyil and Reshama Shaikh.
The following were used for model training (see requirements.txt):
- fastai: version 1.0.42
- PyTorch: version 1.0.0
- Python: version 3.6
The following were used for model deployment:
- Heroku
- Flask: version 1.0
Table of Contents
- Training the Model using fastai: food classifier notebook
- Deploying the App on Heroku: our web app is food-img-classifier.herokuapp.com
- Deploying a Mobile App, see this repo: npatta01/mobile-deep-learning-classifier
Demo
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].