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[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Evaluation of LLMs on latest math competitions
To ensure developers can get the most out of our performance-leading hardware, we built the Voyager™ SDK which facilitates the development of high-performance applications.
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.
Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™-N NPU
MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Code for the paper "Evaluating Large Language Models Trained on Code"
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
COCO API - Dataset @ http://cocodataset.org/
Robot path planning, mapping and exploration algorithms
Instructions on how to set-up the runAI cluster environment
Unified Image and Video Saliency Modeling (ECCV 2020)
evaluation API for salicon : a counterpart of saliency prediction as https://github.com/tylin/coco-caption
Awesome & interesting talks about programming
Sparsity-aware deep learning inference runtime for CPUs
Project Debater Early Access Program Tutorial
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
LLVM (v9.0.0), as TVM backend support for RVP
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++