Kayzaks / HackingNeuralNetworks
A small course on exploiting and defending neural networks
☆2,555Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for HackingNeuralNetworks
- Source code about machine learning and security.☆1,976Updated 2 years ago
- Simple Tensorflow Cookbook for easy-to-use☆2,778Updated 4 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,344Updated 11 months ago
- Organized Resources for Deep Learning Researchers and Developers☆3,169Updated last year
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,529Updated 4 years ago
- Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applicat…☆1,009Updated 2 years ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…☆1,348Updated 9 months ago
- Turn Python scripts into handouts with Markdown and figures☆2,014Updated 3 years ago
- Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.☆3,629Updated last year
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,498Updated last week
- #AISecurity☆1,370Updated 2 years ago
- Library to scrape and clean web pages to create massive datasets.☆2,158Updated 3 years ago
- Computer Vision Basics in Microsoft Excel (using just formulas)☆2,394Updated last year
- A simple neural network for python autocompletion☆824Updated 4 years ago
- Google Colaboratory Notebooks and Repositories (by @firmai)☆1,398Updated 2 years ago
- Awesome-Cellular-Hacking☆2,882Updated last month
- Fast and flexible AutoML with learning guarantees.☆3,466Updated 11 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆17,561Updated this week
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,306Updated last month
- A uniform interface to run deep learning models from multiple frameworks☆936Updated 10 months ago
- Curated list of Python resources for data science.☆4,241Updated last week
- Attempting to make the Deep Learning Book easier to understand.☆1,068Updated 6 years ago
- PyTorch tutorials and best practices.☆1,656Updated 2 years ago
- A natural language modeling framework based on PyTorch☆6,338Updated 2 years ago
- Machine Learning Course with Python:☆7,022Updated 4 years ago
- This is an open sourced book on deep learning.☆437Updated last year
- Learning to See in the Dark. CVPR 2018☆5,448Updated last year
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,254Updated last month
- Natural Language Processing Best Practices & Examples☆6,376Updated 2 years ago