World's first open-source enterprise world model.
agent-memorybitemporalgraphragknowledge-baseknowledge-graphllmontologypgvector
Source: GitHub repository metadata.
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735 matching repositories.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
agent-frameworkagentic-aiagentic-ragagentsaiai-agentscontext-engineeringframework
Source: GitHub repository metadata.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
billion-parameterscompressiondata-parallelismdeep-learninggpuinferencemachine-learningmixture-of-experts
Source: GitHub repository metadata.
Deezer source separation library including pretrained models.
audio-processingbassdeep-learningdeezerdrumsmodelpretrained-modelspython
Source: GitHub repository metadata.
List of Computer Science courses with video lectures.
algorithmsbioinformaticscomputational-biologycomputational-physicscomputer-architecturecomputer-sciencecomputer-visiondatabase-systems
Source: GitHub repository metadata.
CLI for running large numbers of coding agents in parallel with git worktrees
agentic-aiaicodegengogolangllmllm-inferenceparallelization
Source: GitHub repository metadata.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
embedding-searchembedding-storehybrid-searchkey-value-distributed-storemysql-compatibilityreal-time-semantic-searchservingstructured-data
Source: GitHub repository metadata.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
agentic-aiai-agentsai-engineeringai-projectsai-resourcesai-toolsartificial-intelligenceawesome-lists
Source: GitHub repository metadata.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
deep-learninggraph-neural-networks
Source: GitHub repository metadata.
Gluon CV Toolkit
action-recognitioncomputer-visiondeep-learninggangluonimage-classificationmachine-learningmxnet
Source: GitHub repository metadata.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
distributed-systemsgbdtgbmgbrtmachine-learningxgboost
Source: GitHub repository metadata.
深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning
auto-translationchinese-translationcomicscomputer-aided-translationcomputer-visiondeep-learninginpaintingmanga
Source: GitHub repository metadata.
Open source annotation tool for machine learning practitioners.
annotation-tooldata-labelingdatasetdatasetsmachine-learningnatural-language-processingnuxtnuxtjs
Source: GitHub repository metadata.
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
aiapache2chinesellmnatural-language-processingnlppreprocessingpython
Source: GitHub repository metadata.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
awsbig-datacaffedata-sciencedeep-learninghadoopkagglekeras
Source: GitHub repository metadata.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
agent-memoryagentic-aiai-agentsautogenclaudecrewaiknowledge-graphlanggraph
Source: GitHub repository metadata.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
artificial-intelligencecomputer-visiondeep-learningmachine-learningneural-networknlptensorflowtensorflow-2
Source: GitHub repository metadata.
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
apple-silicongemmagemma4gemma4-26b-a4bgpgpullmllm-inferencelocal-ai
Source: GitHub repository metadata.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
bookcomputer-visiond2ldata-sciencedeep-learningdive-into-deep-learningmxnetnlp
Source: GitHub repository metadata.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
caffecomputer-visiondeep-learningdigitsembeddedimage-recognitioninferencejetson
Source: GitHub repository metadata.
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