A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
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Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
Optimize prompts, code, and more with AI-powered Reflective Optimization
- agent-skills
- coding-agent
- discovery
- distributed-evolutionary-algorithms
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
- finance
- portfolio-optimization
- portfolio-management
- quantitative-finance
CoTracker is a model for tracking any point (pixel) on a video.
- optical-flow
- point-tracking
- track-anything
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
- automl
- hyperparam
- automated-machine-learning
- machine-learning
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
- anki-addon
- spaced-repetition-algorithm
- anki
- deep-learning
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
- iccv2019
- ocr
- ocr-recognition
- text-recognition
Bayesian optimization in PyTorch
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
- deep-learning
- tutorials
- uvadlc
- pytorch
Optimized Stable Diffusion modified to run on lower GPU VRAM
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
- football
- xg
- expected-goals
- statsbomb
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
- 3d-printing
- optics
- physics
- python
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
- quantum-algorithms
- quantum-software
- quantum-applications
- quantum-open-source
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
OneDiff: An out-of-the-box acceleration library for diffusion models.
- comfyui
- diffusers
- pytorch
- sdxl
Notebooks about Bayesian methods for machine learning
- machine-learning
- bayesian-methods
- bayesian-machine-learning
- gaussian-processes
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- trading-strategies
- backtesting
- stocks
- financial-data-science