whatrocks / fastai-fall2018Links
πNotebooks from the USCF Deep Learning course (fast.ai v3)
β11Updated 6 years ago
Alternatives and similar repositories for fastai-fall2018
Users that are interested in fastai-fall2018 are comparing it to the libraries listed below
Sorting:
- Material for Talk at PyData Seattle 2017β168Updated 7 years ago
- Contains Jupyter Notebooks of stuff I am working on.β197Updated 5 years ago
- Tutorial given at PyData LA 2018β97Updated last year
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019β82Updated 6 years ago
- Codes used for the hack session in DHS 2019β53Updated 6 years ago
- An API for identifying cougars v.s. bobcats v.s. other USA cat speciesβ126Updated 7 years ago
- Deliberate Practice for Learning Deep Learningβ110Updated 7 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019β41Updated last year
- Here are the notebooks used during the spacy youtube series.β103Updated 4 years ago
- Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyoneβ211Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OHβ160Updated 5 years ago
- Contains solutions to AV competitionsβ21Updated 2 years ago
- β107Updated 7 years ago
- Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to haβ¦β25Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoonβ165Updated 7 years ago
- This contains materials for the word embeddings workshopβ127Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part IIβ163Updated 5 years ago
- Guide on creating an API for serving your ML modelβ66Updated 3 years ago
- β50Updated 4 years ago
- Codes related to various ML Hackathonsβ211Updated 6 years ago
- A pipeline for NLP projects using SkLearnβ24Updated 7 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1β71Updated 7 years ago
- Club Mahindra DataOlympics 03-05-2019 - 05-05-2019β21Updated 6 years ago
- The art of effective visualization of multi-dimensional dataβ164Updated 7 years ago
- Machine learning fundamentals lesson in interactive notebooksβ180Updated 4 years ago
- An easy to use waterfall chart function for Pythonβ164Updated 4 years ago
- I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!β98Updated 7 years ago
- Contains all tutorials and hands-on examples for the ODSC 2019 Workshopβ39Updated 6 years ago
- A Notebook based on NLP Spacy courseβ57Updated 2 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interviewβ40Updated 7 years ago