[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Efficient few-shot learning with Sentence Transformers
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
机器学习、深度学习的学习路径及知识总结
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
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
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Open-source AI cookbook
The /llms.txt file, helping language models use your website
IPython Parallel: Interactive Parallel Computing in Python
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Python libraries for Google Colaboratory
MONAI Tutorials
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
Python Productivity for ZYNQ
机器学习初学者公众号作品
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This repository helps you learn Python and Machine Learning from scratch.
Financial Sentiment Analysis with BERT
🪼 a python library for doing approximate and phonetic matching of strings.
This is a workshop designed for Amazon Bedrock a foundational model service.
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
Text and code for the second edition of Think Bayes, by Allen Downey.
EPFL Machine Learning Course, Fall 2026
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
ebook Machine Learning cơ bản
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Natural Gradient Boosting for Probabilistic Prediction
Practical course about Large Language Models.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
DL course co-developed by YSDA, HSE and Skoltech
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.
Jupyter Notebook
Python Deep Dive Course - Accompanying Materials
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
fklearn: Functional Machine Learning
A group of notebooks and other files which can help you learn AI from scratch.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Official Implementation of "KBLaM: Knowledge Base augmented Language Model"
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
Machine learning in Python with scikit-learn MOOC
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Python implementation of CMA-ES
机械臂+大模型+多模态=人机协作具身智能体
https://www.sc-best-practices.org
Python tutorials in both Jupyter Notebook and youtube format.
Code / solutions for Mathematics for Machine Learning (MML Book)
User friendly and accurate binder design pipeline
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Solutions for projects.
GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Example deep learning projects that use wandb's features.
Videos, notes and experiments to understand deep learning