| bansalkanav/Machine_Learning_and_Deep_Learning |
492 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| hijkzzz/prisma |
65 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| Prisma |
| US-Artificial-Intelligence/praetor-data |
62 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
other |
Python |
| Praetor is a lightweight finetuning data and prompt management tool |
| ZackAkil/rgb-neural-net |
60 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Physical visualisation of neural network learning using RGB leds, arduino and raspberry pi. |
| rememberlenny/Flask-Person-Detector |
36 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Flask based web application that provides a REST endpoint using OpenCV's Deep Neural Network method for Object Detection |
| jtloong/sg2im-demo |
36 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
JavaScript |
| A web based demo of Google's sg2im neural network to convert a scene graph to a photorealistic image. |
| anastassia-b/imessage-chatbot |
23 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Python |
| 💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS. |
| jay-johnson/network-pipeline |
23 |
|
1 |
0 |
over 5 years ago |
45 |
September 04, 2020 |
0 |
apache-2.0 |
Python |
| Network traffic data pipeline for real-time predictions and building datasets for deep neural networks |
| vivshaw/shakespeare-LSTM |
17 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
mit |
HTML |
| a Keras neural network trained to write Shakespearean sonnets, with a Flask web interface |
| ianburkeixiv/Python-TensorFlow-WebApp |
16 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| Emerging Technologies Project - 4th Year 2017 |
