floydhub / quick-startLinks
FloydHub quick start project - train TensorFlow model with MNIST dataset
☆25Updated 6 years ago
Alternatives and similar repositories for quick-start
Users that are interested in quick-start are comparing it to the libraries listed below
Sorting:
- This is the Git repo from the O'Reilly AI Conference, NY for the session "Building Game bots using OpenAI's Gym and Universe".☆15Updated 2 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- This is the code for "Serverless Computing with Google Cloud" By Siraj Raval on Youtube☆33Updated 6 years ago
- A quick start project for polyaxon☆29Updated 10 months ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube☆44Updated 7 years ago
- [UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.☆16Updated 6 years ago
- A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym☆94Updated 3 years ago
- Kaggle competition : Code and Solutions☆19Updated 8 years ago
- Python bindings for Matroid API☆16Updated last week
- Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!☆82Updated 7 years ago
- Loan Default Prediction at Kaggle☆25Updated 10 years ago
- ☆15Updated 6 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- This is the code for the "How to Use Tensorflow for Classification" live session by Siraj Raval on Youtube☆75Updated 7 years ago
- This is the code for "Navigating a Virtual World Using Dynamic Programming" by Siraj Raval on Youtube☆57Updated 7 years ago
- ☆19Updated 4 years ago
- Fast.AI course complete docker container for Paperspace and Gradient☆47Updated 6 years ago
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- This is the code for "Vectors - The Math of Intelligence #3" By SIraj Raval on Youtube☆16Updated 7 years ago
- JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment☆30Updated 6 years ago
- ☆59Updated 3 years ago
- GraphPipe for python☆41Updated 6 years ago
- ☆63Updated 7 years ago
- My computational narrative notebooks.☆10Updated 6 years ago
- ☆26Updated 7 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- Analysis pipeline for quick ML analyses.☆11Updated 6 years ago
- ☆35Updated 6 years ago