Popular GitHub Repositories for Fcn 16s

? Kubectl plugin to create manifests with LLMs

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Standardized Serverless ML Inference Platform on Kubernetes

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

oneAPI Deep Neural Network Library (oneDNN)

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Pytorch framework for doing deep learning on point clouds.

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

? Difficult algorithm, Simple code.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

DLRover: An Automatic Distributed Deep Learning System

?RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

LLMs for your CLI

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

? Tiny S3 client. Edge computing ready. No-dep. In Typescript. Works with @cloudflare @minio @backblaze @digitalocean @garagehq

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

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

A Kitti Road Segmentation model implemented in tensorflow.