Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs…
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
PyTorch implementations of Generative Adversarial Networks.
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch
ספר מלא בעברית על למידת מכונה ולמידה עמוקה
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation