alessiamarcolini / deep-learning_best-practices
☆107Updated 6 years ago
Alternatives and similar repositories for deep-learning_best-practices:
Users that are interested in deep-learning_best-practices are comparing it to the libraries listed below
- ☆168Updated 6 years ago
- ☆160Updated 6 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆67Updated 6 years ago
- OLD REPO - PLEASE USE fastai/fastai☆180Updated 2 years ago
- Deliberate Practice for Learning Deep Learning☆108Updated 6 years ago
- Code for training a Resnet model for the Human Protein Atlas Image Classification competition☆50Updated 6 years ago
- ☆46Updated 2 years ago
- ML model serving app based on APIs☆71Updated 3 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- ☆268Updated 5 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated last year
- A python module of handy tools and functions, mainly for ML and Kaggle☆333Updated 3 years ago
- Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson☆16Updated 5 years ago
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆69Updated 5 years ago
- Predict Toxic Comments in the wild☆41Updated 6 years ago
- ☆49Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving☆122Updated 5 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆66Updated 6 years ago
- Neural networks from scratch☆108Updated 4 years ago
- PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course☆57Updated 7 years ago
- A Guide to Scaling Machine Learning Models in Production☆88Updated 7 years ago
- ☆35Updated 5 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 6 months ago
- ☆52Updated 6 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 6 years ago