Lists (9)
Cyber Security
Cyber security related6 repositories
Future stack
Interesting tools on my to-use-list, mostly Rust related.16 repositories
GAMs
Generalized Additive Models, mostly RStats9 repositories
Image processing
DL,ML with a focus on segmentation and other image models41 repositories
Lectures and Notes
TLDR-like notes and other awesome lists31 repositories
Likes
Tools I do not often use but like due to the implementation, results, vision behind, or code beauty.94 repositories
Model-related
Tools to make model diagnostics/interpretation easier33 repositories
🚀 My stack
27 repositories
Starred repositories
127
stars
written in Python
Clear filter
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
⚡ A Fast, Extensible Progress Bar for Python and CLI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Best Practices on Recommendation Systems
Magenta: Music and Art Generation with Machine Intelligence
Datasets, Transforms and Models specific to Computer Vision
Code samples for my book "Neural Networks and Deep Learning"
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Image augmentation for machine learning experiments.
Command line interface for testing internet bandwidth using speedtest.net
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Quickly rewrite git repository history (filter-branch replacement)
An open access book on scientific visualization using python and matplotlib
Python bindings for FFmpeg - with complex filtering support
Practical Python Programming (course by @dabeaz)
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Count the number of people around you 👨👨👦 by monitoring wifi signals 📡