amiyapatanaik / tensorflow-serving-docker-imageLinks
Production Ready Docker Container for TensorFlow Serving
☆17Updated 8 years ago
Alternatives and similar repositories for tensorflow-serving-docker-image
Users that are interested in tensorflow-serving-docker-image are comparing it to the libraries listed below
Sorting:
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- Solution to the Kaggle's competition Google Cloud & YouTube-8M Video Understanding Challenge☆32Updated 8 years ago
- TensorFlow Meetup Talks☆57Updated 7 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Feature-Time Instability Metric☆44Updated 9 years ago
- ☆63Updated 7 years ago
- ☆52Updated 7 years ago
- This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube☆62Updated 7 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Applying transfer learning to a custom dataset by retraining Inception's final layer☆94Updated 8 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 6 years ago
- Keras implementation of Nested LSTMs☆88Updated 6 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 6 years ago
- ☆24Updated 7 years ago
- Tensorflow implementation of Facebook TagSpace☆74Updated 6 years ago
- Predict Toxic Comments in the wild☆41Updated 6 years ago
- This is code for my CERN presentation☆62Updated 8 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 10 years ago
- Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.☆92Updated 8 years ago
- This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube☆91Updated 7 years ago
- [In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch☆30Updated 8 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆77Updated 7 years ago
- 📓 Notes from The Neural Perspective (discontinued) blog.☆83Updated 7 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 11 years ago
- ☆46Updated 2 years ago
- Experiments for Jeremy Howard's deep learning courses☆39Updated 8 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago