All-in-one platform for search, recommendations, RAG, and analytics offered via API
- actix-web
- diesel
- postgresql
- qdrant
Repository Index
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Run the full 2.78-trillion-parameter Kimi K3 model, DeepSeek V4.1 Flash or GLM-5.3-Flash beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine.
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
- machine-learning
- experimentation
- llm-prompting
- llm-test
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
- community-detection
- graph-clustering
- deepwalk
- networkx
Fast State-of-the-Art Static Embeddings
- embeddings
- machine-learning
- model2vec
- nlp
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
- machine-learning
- knowledge-graph
- relational-learning
- representation-learning
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
The open-source AI engine for AMD Strix Halo. Text, embeddings, speech, image and video models in one binary, with OpenAI-compatible APIs, caching for coding agents and model extensions. Linux and Windows.
- amd
- llm
- strix-halo
- gfx1151
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
A code repository indexing tool to supercharge your LLM experience.
- neovim-plugin
- retrieval-augmented
- embeddings
- rag
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
repository for Publicly Available Clinical BERT Embeddings
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
- bilm
- elmo
- tensorflow
- machine-learning
A Common Lisp embeddings library
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions