Popular GitHub Repositories for Ternary Operator

Let AI be your browser operator.

Open-source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

A library for scientific machine learning and physics-informed learning

Learning in infinite dimension with neural operators.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.

A framework to enable autonomous android and computer use using any LLM (local or remote)

This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use".

A library for Koopman Neural Operator with Pytorch.

OpenDILab RL Kubernetes Custom Resource and Operator Lib

OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

? Yet another operator for running large language models on Kubernetes with ease. Powered by Ollama! ?

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

Finetune LLMs on K8s by using Runbooks