1.lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
- instruction-set
- llama
- +7 more
Ranked by Attention Score: stars gained over the last 90 complete days
68 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
AirLLM 2.8T LLM inference with single 4GB GPU
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Google Research
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
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.
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.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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.
Python training for business analysts and traders
Examples and guides for using the Gemini API
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | 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 (Yunzhong Jiangshu, "river and trees amid the clouds")
PyTorch code and models for the DINOv2 self-supervised learning method.
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.
TranslatedDeep Learning Tutorial, excellent articles
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The fastai deep learning library
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
This repository contains implementations and illustrative code to accompany DeepMind publications
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository host gives no description.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Kubernetes Community Documentation
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Performance analysis of predictive (alpha) stock factors
Flax is a neural network library for JAX that is designed for flexibility.
The fastest way to create an HTML app
The repository host gives no description.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Portfolio and risk analytics in Python
A multi-voice TTS system trained with an emphasis on quality
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Official inference library for Mistral models
Create delightful software with Jupyter Notebooks
Instruct-tune LLaMA on consumer hardware
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Natural Gradient Boosting for Probabilistic Prediction
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
The repository host gives no description.
StableLM: Stability AI Language Models
🛠 All-in-one web-based IDE specialized for machine learning and data science.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
A collection of infrastructure and tools for research in neural network interpretability.
CatBoost tutorials repository
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.
The repository host gives no description.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Various Jupyter notebooks about Common Crawl data
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Reinforcement Learning for Portfolio Management
The repository host gives no description.