训练框架

PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.

U-Time: A Fully Convolutional Network for Time Series Segmentation

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

🛥 Vaporetto: Very accelerated pointwise prediction based tokenizer

[CVPR 2025] SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures

Implementation of a U-net complete with efficient attention as well as the latest research findings

Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.

Official implementation for "Story2Board: A Training‑Free Approach for Expressive Storyboard Generation"

NVIDIA AITune is an inference toolkit designed for tuning and deploying Deep Learning models with a focus on NVIDIA GPUs.

A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.

FasterAI: Prune and Distill your models with FastAI and PyTorch

We look forward to models based on MiniMax H3. ChronoDepth Depth Any Video Depth Anything Depth Pro DepthCrafter DreamStereo DVD Elastic3D Eye2Eye FFN GemDepth GRT HairGuard InfiniDepth MoGe M2SVid NVDS Pixel-Perfect Video Depth Restereo StereoCrafter StereoEngine StereoPilot StereoWorld SVG UniDepth UniK3D Video Depth Anything ViGeo αDepth

PyTorch template for Deep Learning projects with support for scalable multi-GPU and multi-node training.

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

All Computer Vision Projects - Beginner to Advanced

Real-time object detection, keypoint estimation, instance and semantic segmentation. Train, export (TensorRT, ONNX, OpenVINO, CoreML), deploy. Apache-2.0

Unofficial notebooks and resources for Microsoft's Florence-2 vision-language model: inference, auto-labelling and fine-tuning.

Archived oneAPI specification sources. The current dynamic specification is maintained on the UXL Foundation website and in project documentation.

Production-ready C++/TensorRT inference engine for RF-DETR. Object detection and instance segmentation with FP32/FP16/INT8 support. Optimized for NVIDIA GPUs, Jetson (Orin, AGX Thor).

Chat to Compose Video

NVIDIA-accelerated, deep learned model support for image space object detection

High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices