Life & fun · alternatives · 2026
24 alternatives to Deep siamese LSTM network to capture phrase/sentence similarity
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings - dhwajraj/deep-siamese-text-similarity
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deep siamese LSTM network to capture phrase/sentence similarity launched in 2017; newer entries below may have overtaken it.
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Sonnet▲134A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
- 2
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
2017 · github.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
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TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks". - jimfleming/recurrent-entity-networks
2016 · github.com · its alternatives →
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:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures - astorfi/lip-reading-deeplearning
2018 · github.com · its alternatives →
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I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
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We have a dataset of 3,095 standardized AI responses across 43 prompts. From each response, we extract a 32-dimension stylometric fingerprint (lexical richness, sentence structure, punctuation habits, formatting patterns, discourse markers). Some findings: - 9 clone clusters (>90% cosine similarity on z-normalized feature vectors) - Mistral Large 2 and Large 3 2512 score 84.8% on a composite metric combining 5 independent signals - Gemini 2.5 Flash Lite writes 78% like Claude 3 Opus. Costs 185x less - Meta has the strongest provider "house style" (37.5x distinctiveness ratio) - "Satirical…
Apr 2026 · rival.tips · its alternatives →
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We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com · its alternatives →
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A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset. - mosessoh/CNN-LSTM-Caption-Generator
2016 · github.com · its alternatives →
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Deepmark AI enables a unique testing environment for language models (LLM) assessment on task-specific metrics and on your own data so your GenAI-powered solution has predictable and reliable performance. - IngestAI/deepmark
2023 · github.com · its alternatives →
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Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
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:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification - astorfi/3D-convolutional-speaker-recognition
2017 · github.com · its alternatives →
- 14GC
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
2016 · tkipf.github.io · its alternatives →
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2016 · github.com · its alternatives →
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:speech_balloon: Sequence to Sequence from Scratch Using Pytorch - astorfi/sequence-to-sequence-from-scratch
2019 · github.com · its alternatives →
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Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
2017 · github.com · its alternatives →
- 18
A general-purpose encoder-decoder framework for Tensorflow - google/seq2seq
2017 · github.com · its alternatives →
- 19IT
2016 · danijar.github.io · its alternatives →
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A general-purpose encoder-decoder framework for Tensorflow
2017 · google.github.io · its alternatives →
- 213W
2013 · wordcloud.ersatz1.com · its alternatives →
- 22
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
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Neural network OCR. Contribute to mateogianolio/ocr development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 24
Learning of word representations and sentence classification
2017 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →