instillai / TensorFlow-RoadmapLinks
Organized & Useful Resources about Deep Learning with TensorFlow
☆86Updated 4 years ago
Alternatives and similar repositories for TensorFlow-Roadmap
Users that are interested in TensorFlow-Roadmap are comparing it to the libraries listed below
Sorting:
- Curated lists of fastai resources: blog posts, twitter threads etc.☆145Updated 5 years ago
- A guide to building awesome machine learning projects.☆250Updated 4 years ago
- scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.☆96Updated last year
- A club to keep learning about ML☆91Updated 3 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆139Updated 5 years ago
- Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos☆28Updated 5 years ago
- My personal notes on Machine Learning☆143Updated 4 years ago
- Deep Learning Bootcamp☆67Updated 6 years ago
- Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.☆53Updated 5 years ago
- Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project☆58Updated 2 years ago
- Exploring AI, leveraging the power of Python.☆29Updated 5 years ago
- A quick overview of my background and past projects.☆79Updated 2 years ago
- This codebase is a starting point to get your Machine Learning project into Production.☆43Updated 4 years ago
- AI Digest: Monthly updates on AI and ML topics☆105Updated 4 years ago
- Machine learning algorithms☆112Updated 6 years ago
- This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval☆1Updated 7 months ago
- A Pytorch Deep Dream Implementation☆88Updated 5 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆64Updated 5 years ago
- ☆50Updated 4 years ago
- A python library for visualising and analysing algorithms☆105Updated last year
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆263Updated 6 years ago
- A collection of materials to help you learn about deep learning☆179Updated last year
- A collection of open-source and free machine learning resources☆85Updated 8 months ago
- An attempt at a paper a day☆21Updated 5 years ago
- ☆92Updated 4 years ago
- Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.☆64Updated 7 years ago
- A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs.…☆75Updated 4 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.☆108Updated 2 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago