The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
- text-similarity
- natural-language-processing
- word-embeddings
- python
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The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
Translate the video from one language to another and embed dubbing & subtitles.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Topic Modelling for Humans
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Translated100+ Chinese Word Vectors
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Open-source inference platform for language, vision, embedding, reranking, image, audio, and video models. Deploy with multiple engines across heterogeneous hardware, from a laptop to a distributed cluster. Serve models through OpenAI-compatible APIs.
ImageBind One Embedding Space to Bind Them All
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
TranslatedPaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge
computer vision and sports
On-device AI across mobile, embedded and edge for PyTorch
A blazing fast inference solution for text embeddings models
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Tengine is a lite, high performance, modular inference engine for embedded device
A python library for self-supervised learning and latent world models on images.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821