aihill's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
awesome-implicit-representations
A curated list of resources on implicit neural representations.
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
dl-colab-notebooks
Try out deep learning models online on Google Colab
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
encord-active
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
STFT_Transformer
Code for STFT Transformer used in BirdCLEF 2021 competition.
DrivenData-Alzheimer-Research-1st-place-solution
1st place solution for Clog Loss: Advance Alzheimer’s Research with Stall Catchers
DLinEO_review
Supplementary material to the review series: Object Detection and Image Segmentation with Deep Learning on Earth Observation Data
DeepVideos
Video Generation from Images
digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
ICCV19-GluonCV
Tutorial Materials for ICCV19