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.
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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.
felixge's notes on the various go profiling methods that are available.
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Code repository for O'Reilly book
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
The hub for EleutherAI's work on interpretability and learning dynamics
Multi-agent systems, memory, planning, reasoning loops
📊⚽ 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.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Kandinsky 2 — multilingual text2image latent diffusion model
🎁 7,400,000+ Unsplash images made available for research and machine learning
Easily compute clip embeddings and build a clip retrieval system with them
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.