Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Deepo | 6,312 | a year ago | 1 | mit | Python | |||||
Setup and customize deep learning environment in seconds. | ||||||||||
Image Super Resolution | 4,392 | 4 months ago | 106 | apache-2.0 | Python | |||||
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. | ||||||||||
Pipeline | 4,158 | a year ago | 85 | July 18, 2017 | 1 | apache-2.0 | Jsonnet | |||
PipelineAI | ||||||||||
Cakechat | 1,169 | 4 years ago | 1 | apache-2.0 | Python | |||||
CakeChat: Emotional Generative Dialog System | ||||||||||
Fabrik | 1,062 | 4 years ago | 69 | gpl-3.0 | Python | |||||
:factory: Collaboratively build, visualize, and design neural nets in browser | ||||||||||
Onnx2tf | 461 | 2 | 3 months 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. | ||||||||||
Attention_keras | 429 | a year ago | 11 | mit | Python | |||||
Keras Layer implementation of Attention for Sequential models | ||||||||||
Stock Analysis Engine | 414 | 4 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/ | ||||||||||
Cloud | 360 | 7 | 6 months 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. | ||||||||||
Kaggle_salt_bes_phalanx | 270 | 5 years ago | 3 | Python | ||||||
Winning solution for the Kaggle TGS Salt Identification Challenge. |