| ufoym/deepo |
6,312 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| Setup and customize deep learning environment in seconds. |
| idealo/image-super-resolution |
4,392 |
|
0 |
0 |
over 2 years ago |
0 |
|
106 |
apache-2.0 |
Python |
| 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. |
| PipelineAI/pipeline |
4,158 |
|
0 |
0 |
over 3 years ago |
85 |
July 18, 2017 |
1 |
apache-2.0 |
Jsonnet |
| PipelineAI |
| lukalabs/cakechat |
1,169 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| CakeChat: Emotional Generative Dialog System |
| Cloud-CV/Fabrik |
1,062 |
|
0 |
0 |
almost 6 years ago |
0 |
|
69 |
gpl-3.0 |
Python |
| :factory: Collaboratively build, visualize, and design neural nets in browser |
| PINTO0309/onnx2tf |
461 |
|
0 |
2 |
over 2 years ago |
438 |
December 10, 2023 |
14 |
mit |
Python |
| Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request. |
| thushv89/attention_keras |
429 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
mit |
Python |
| Keras Layer implementation of Attention for Sequential models |
| AlgoTraders/stock-analysis-engine |
414 |
|
0 |
0 |
almost 6 years ago |
167 |
September 05, 2020 |
6 |
|
Jupyter Notebook |
| Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/ |
| tensorflow/cloud |
360 |
|
0 |
7 |
over 2 years ago |
19 |
June 17, 2021 |
75 |
apache-2.0 |
Python |
| The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud. |
| ybabakhin/kaggle_salt_bes_phalanx |
270 |
|
0 |
0 |
almost 7 years ago |
0 |
|
3 |
|
Python |
| Winning solution for the Kaggle TGS Salt Identification Challenge. |
