Popular GitHub Repositories for Batch Reactor

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 在 VSCode 中征服任何代码：一键注释、转换、UI 图生成代码、AI 批量处理文件！?

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

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

? ??? ???? ????? ?-????? ????? ????????? | ????? ??? & ????? for free by designing, building and deploying an end-to-end ML batch system ~ ?????? ???? + 2.5 ????? ?? ??????? & ????? ?????????

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

一站式自动化运维及自动化部署平台, 使用多环境的概念, 提供了机器管理、机器监控报警、Web终端、WebSftp、机器批量执行、机器批量上传、在线查看日志、定时调度任务、应用环境维护、应用构建及发布任务、操作流水线等功能, 帮助企业实现一站式轻量化运维治理, 致力于企业级应用的智能运维。

ML pipeline orchestration and model deployments on Kubernetes.

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

?️ Lightweight, self-hosted web-based file manager with multi-file upload, editing, and batch operations – built with PHP & JavaScript for seamless file and folder management (Docker & Unraid ready).

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

FeatHub - A stream-batch unified feature store for real-time machine learning

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Deep learning library in plain Numpy.

带有 WebUI 的 NovelAI 量产工具, 实现了批量文生图; 批量图生图; 视频转绘; 分块重绘; 批量 Vibe; 批量局部重绘; 批量超分降噪; 批量自动打码; 批量添加水印; 批量上传 Pixiv; 图片筛选; 批量抹除, 还原或导出生成信息; 法术解析; 多模型反推提示词; ChatGPT; 动态加载插件; 自动 roll 画风串; 批量 Enhance; tag选择器; 涂鸦重绘; 图片压缩整理; 批量AI工具; wildcard; ...