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 30 complete days
59 repositories by Attention Score · Oct 6, 2026 – Nov 4, 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.
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
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
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.
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 Meta Segment Anything Model 2 (SAM 2), 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.
Python training for business analysts and traders
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")
Examples and guides for using the Gemini API
PyTorch code and models for the DINOv2 self-supervised learning method.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
TranslatedDeep Learning Tutorial, excellent articles
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.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
The fastai deep learning library
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This repository contains implementations and illustrative code to accompany DeepMind publications
The repository host gives no description.
Performance analysis of predictive (alpha) stock factors
Flax is a neural network library for JAX that is designed for flexibility.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A multi-voice TTS system trained with an emphasis on quality
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.
The repository host gives no description.
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.
Portfolio and risk analytics in Python
Official inference library for Mistral models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
The fastest way to create an HTML app
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Natural Gradient Boosting for Probabilistic Prediction
Create delightful software with Jupyter Notebooks
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Instruct-tune LLaMA on consumer hardware
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
A collection of infrastructure and tools for research in neural network interpretability.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
The repository host gives no description.
CatBoost tutorials repository
A knowledge graph and a set of tools for drug repurposing
The repository host gives no description.
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.