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- Semantic search with embeddings: index anything https://rom1504.medium.com/semantic-search-with-embeddings-index-anything-8fb18556443c 2 comments
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Linked pages
- Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Medium https://karpathy.medium.com/software-2-0-a64152b37c35 411 comments
- GitHub - jina-ai/jina: ☁️ Build multimodal AI applications with cloud-native stack https://github.com/jina-ai/jina 173 comments
- GitHub - milvus-io/milvus: Vector database for scalable similarity search and AI applications. https://github.com/milvus-io/milvus 145 comments
- Home - Pl@ntNet https://plantnet.org/en/ 109 comments
- GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors. https://github.com/facebookresearch/faiss 100 comments
- Simplified Wrapper and Interface Generator http://swig.org/ 95 comments
- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- GitHub - deepset-ai/haystack: :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. https://github.com/deepset-ai/haystack 35 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
- https://github.com/google-research/google-research/tree/master/scann 25 comments
- PageRank - Wikipedia https://en.wikipedia.org/wiki/PageRank 22 comments
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-bert/ 20 comments
- PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization https://shunsukesaito.github.io/PIFuHD/ 19 comments
- k-means clustering - Wikipedia https://en.wikipedia.org/wiki/K-means_clustering 18 comments
- Singular value decomposition - Wikipedia https://en.wikipedia.org/wiki/Singular_value_decomposition 18 comments
- Apache Spark™ - Unified Engine for large-scale data analytics http://spark.apache.org/ 9 comments
- GloVe: Global Vectors for Word Representation http://nlp.stanford.edu/projects/glove/ 7 comments
- Named-entity recognition - Wikipedia http://en.wikipedia.org/wiki/Named-entity_recognition 7 comments
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