A library for debugging/inspecting machine learning classifiers and explaining their predictions
- scikit-learn
- machine-learning
- xgboost
- lightgbm
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A library for debugging/inspecting machine learning classifiers and explaining their predictions
📊⚽ 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.
机器学习、深度学习的学习路径及知识总结
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.
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. 📈
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Collection of data science projects in Python
Kandinsky 2 — multilingual text2image latent diffusion model
🎁 7,400,000+ Unsplash images made available for research and machine learning
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
List of papers, code and experiments using deep learning for time series forecasting
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FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
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.
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Open-source AI cookbook
Self hosted alternative to Google Photos