A collection of libraries to optimise AI model performances
aianalyticsartificial-intelligencedeeplearninglarge-language-modelsllm
Source: GitHub repository metadata.
Find public projects in our local index, with related guides and tools from MetaCyberGuru. Your search is not sent to GitHub.
Explore topic collections for selection checklists and useful search examples.
735 matching repositories.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
A collection of libraries to optimise AI model performances
aianalyticsartificial-intelligencedeeplearninglarge-language-modelsllm
Source: GitHub repository metadata.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
autoencoderconvolutional-neural-networksdeep-learningganmachine-translationnatural-language-processingrecurrent-neural-networksstyle-transfer
Source: GitHub repository metadata.
A collaboration friendly studio for NeRFs
3d3d-graphics3d-reconstructioncomputer-visiondeep-learninggaussian-splattingmachine-learningnerf
Source: GitHub repository metadata.
The fastest path to AI-powered full stack observability, even for lean teams.
aialertingcncfdata-visualizationdatabasedevopsdockergrafana
Source: GitHub repository metadata.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
agentsaiai-agentsembeddingsinformation-retrievallanguage-modellarge-language-modelsllm
Source: GitHub repository metadata.
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
aichatgptdatadata-engineeringdatabaseembeddingsetlllm
Source: GitHub repository metadata.
Meet Ava, the WhatsApp Agent
agentagent-basedagentic-workflowagentssttttsvector-database
Source: GitHub repository metadata.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
agentagentic-aiagentic-frameworkagentsaillmllm-inferencellms
Source: GitHub repository metadata.
Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model
chatgptfoundation-modelsgpt-4instruction-tuninglarge-language-modelsllmmllmmulti-modal-chatgpt
Source: GitHub repository metadata.
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
approximate-nearest-neighbor-searchk-nearest-neighborsknn-searchnearest-neighbor-searchnearest-neighborsvector-databasevector-search
Source: GitHub repository metadata.
[ICCV 2019] Monocular depth estimation from a single image
computer-visiondeep-learningdepth-estimationmonodepthneural-networkpytorchself-supervision
Source: GitHub repository metadata.
Turn your Android phone into an OpenAI-compatible LLM inference server - Fully local, private and Open Source
androidanthropic-apigemmahome-assistantkotlin-androidlitertlitert-lmllm
Source: GitHub repository metadata.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
agent-memoryai-agentsanthropicepisodic-memorygenerative-aigraphitiknowledge-graphlangchain
Source: GitHub repository metadata.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
agentagent-frameworkagentic-aiagentsai-agentsdeploymentgenaigenerative-ai
Source: GitHub repository metadata.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
agentic-aiagentsaiai-agentsautonomous-agentsgenaigenerative-ailangchain
Source: GitHub repository metadata.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
agentic-ragaiembeddingsgenerative-aigptlangchainllama-indexllm
Source: GitHub repository metadata.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
deep-learningmachine-learningnlp
Source: GitHub repository metadata.
NLTK Source
machine-learningnatural-language-processingnlpnltkpython
Source: GitHub repository metadata.
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
attention-mechanismchinesedeep-learningmachine-learningneural-networkstextbooktransformer
Source: GitHub repository metadata.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
ai-chatllm-inference
Source: GitHub repository metadata.
We collect selected public repository metadata through GitHub’s official API and store it on our server. This is not a complete index of GitHub. Categories come from discovery queries and topics; a “skills” or “plugins” result is not a verified installation format. We do not run or audit the projects listed here.
Check the original repository’s licence, installation instructions and maintenance history before using it. Stars do not establish security, and a recent push does not prove that a project works. GitHub may have newer information than our last indexed record.
Search is lexical, not an AI answer engine. Short words and spelling differences can affect matches. This site is independent of GitHub. Report a wrong category, stale result or removal request.