A set of Swift libraries for parsing, inspecting, generating, and transforming Swift source code.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
Community maintained hardware plugin for vLLM on Huawei Ascend
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
PageLM is a community driven version of NotebookLM & a education platform that transforms study materials into interactive resources like quizzes, flashcards, notes, and podcasts.
Transform your Obsidian into a powerful video note-taking tool. 🖇️🗂️⏯️
Halo is an open-source framework built by White Circle for training large language and multimodal models
A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
CodeCharta is a visualization tool that transforms complex software architecture and code metrics into interactive, customizable visual maps, empowering everyone to communicate and analyze your codebase. Improve code quality, maintainability, and architectural decisions
Multimodal memory agent on macOS
Interactive desktop app with 51 labs covering ML fundamentals, transformers, RAG, agents, fine-tuning and quantization and more.
四十五门真实网课的模块合辑全书 + 思维导图复习笔记 + 逐字稿,全部由 Video2Book 从课程音频重构:518 册教材、603 篇笔记、2,286 份逐字稿,从逐讲精读到考前速查,笔记支持 Markmap / XMind 脑图导入。
WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder and transformer layers to the GPU layer by layer, enabling inference on hardware with limited VRAM. It supports both safetensors and GGUF models.
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PyTorch implementation of Looped Diffusion Transformer
KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers
A simpler site generator. Transforms a directory of templates (of varying types) into HTML.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Machine Learning Engineering Open Book
Ongoing research training transformer models at scale
Datasets, Transforms and Models specific to Computer Vision
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
A PyTorch-based Speech Toolkit
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
A polyglot web converter.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Unified querying, transformation, and modification of JSON, TOML, YAML, XML, INI, HCL, KDL and CSV.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Realtime database backend based on Operational Transformation (OT)
On-device Speech AI for Apple Silicon
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Super-fast/easy runtime validators and serializers via transformation
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Fast inference engine for Transformer models
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Copybara: A tool for transforming and moving code between repositories.
Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Malloy is a modern open source language for describing data relationships and transformations.
Apple MLX native implementations of state-of-the-art generative image & video models
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Fast State-of-the-Art Static Embeddings
QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析,到通达信深度联动(板块推送/预警雷达/闪电下单)与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用,系统采用 Docker Compose 一键私有化部署,数据与模型完全本地化,保障策略隐私,功能零门槛无限制。
PTQ-Level Efficiency, QAT-Level Accuracy|训练后量化的效率,量化感知训练的精度
Build, enrich, and transform datasets using AI models with no code
Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识
CLI tool and library for 3D Gaussian splat processing and conversion
modular service framework to move and transform network packets
LLM KV cache compression made easy
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
The CLI for codemods: scaffold, share, and run multi-step transformations of any size. First-class ast-grep support. Fast, reliable, polyglot.
从 NLP 到 LLM 的算法全栈教程,在线阅读地址:https://datawhalechina.github.io/base-llm/
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]