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Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.

Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.

Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.

huggingface / transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

vllm-project / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

hiyouga / LlamaFactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

rohitg00 / ai-engineering-from-scratch

Learn AI Engineering! Learn it. Build it. Ship it for others.

sgl-project / sglang

SGLang is a high-performance serving framework for large language models and multimodal models.

huggingface / pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

p-e-w / heretic

Fully automatic censorship removal for language models

fishaudio / fish-speech

SOTA Open Source TTS

SYSTRAN / faster-whisper

Faster Whisper transcription with CTranslate2

lucidrains / vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

huggingface / peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

kvcache-ai / ktransformers

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

stas00 / ml-engineering

Machine Learning Engineering Open Book

huggingface / trl

Train transformer language models with reinforcement learning.

huggingface / sentence-transformers

State-of-the-Art Embeddings, Retrieval, and Reranking

arc53 / DocsGPT

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

NVIDIA / Megatron-LM

Ongoing research training transformer models at scale

Robbyant / lingbot-map

[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction

BlinkDL / RWKV-LM

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

FlashML-org / FreeToken

FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.

neuml / txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Tencent-Hunyuan / HunyuanVideo

HunyuanVideo: A Systematic Framework For Large Video Generation Model

FareedKhan-dev / train-llm-from-scratch

A straightforward method for training your LLM, from downloading data to generating text.

speechbrain / speechbrain

A PyTorch-based Speech Toolkit

qubvel-org / segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

data-privacy-stack / presidio

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

facebookresearch / xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

zyddnys / manga-image-translator

Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)

OpenRLHF / OpenRLHF

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

xorbitsai / inference

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

MakazhanAlpamys / Soup

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

NVlabs / Sana

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

InternLM / lmdeploy

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Blaizzy / mlx-audio

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

MaartenGr / BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

lucidrains / PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

EleutherAI / gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

vladmandic / sdnext

SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing

vllm-project / vllm-omni

A framework for efficient model inference with omni-modality models

google-research / text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

amazon-science / chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

lucidrains / x-transformers

A concise but complete full-attention transformer with a set of promising experimental features from various papers

PaddlePaddle / PaddleClas

A treasure chest for visual classification and recognition powered by PaddlePaddle

OpenBMB / UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

huggingface / alignment-handbook

Robust recipes to align language models with human and AI preferences

Blaizzy / mlx-vlm

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

lyuwenyu / RT-DETR

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

katanaml / sparrow

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

transformerlab / transformerlab-app

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

WeThinkIn / AIGC-Interview-Book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

SwanHubX / SwanLab

⚡️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.

Nixtla / neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

TransformerLensOrg / TransformerLens

A library for mechanistic interpretability of GPT-style language models

google-research / scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

NVIDIA / TransformerEngine

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.

fnnx-ai / scikit-llm

Seamlessly integrate LLMs into scikit-learn.

huggingface / optimum

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools