1lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
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46 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
AirLLM 2.8T LLM inference with single 4GB GPU
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Google Research
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Python training for business analysts and traders
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Examples and guides for using the Gemini API
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
PyTorch code and models for the DINOv2 self-supervised learning method.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The fastai deep learning library
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
This repository contains implementations and illustrative code to accompany DeepMind publications
Performance analysis of predictive (alpha) stock factors
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
No description provided by the repository host.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Flax is a neural network library for JAX that is designed for flexibility.
Kubernetes Community Documentation
Official inference library for Mistral models
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Natural Gradient Boosting for Probabilistic Prediction
深度学习入门教程, 优秀文章, Deep Learning Tutorial
A multi-voice TTS system trained with an emphasis on quality
No description provided by the repository host.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Portfolio and risk analytics in Python
A collection of infrastructure and tools for research in neural network interpretability.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A knowledge graph and a set of tools for drug repurposing
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Open Matrix (OMX)