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basis-expansionsBasis expansion transformers in sklearn style.
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deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
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Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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segmenter[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
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php-serializerSerialize PHP variables, including objects, in any format. Support to unserialize it too.
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M3DETRCode base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
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Esbuild JestA Jest transformer using esbuild
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fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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Restormer[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
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Etaggerreference tensorflow code for named entity tagging
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Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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proc-thatproc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.
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golgothaContextualised Embeddings and Language Modelling using BERT and Friends using R
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TS-CAMCodes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
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R-MeNTransformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
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text2keywordsTrained T5 and T5-large model for creating keywords from text
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visualizationa collection of visualization function
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Smiles TransformerOriginal implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
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bytekitJava 字节操作的工具库(不是字节码的工具库)
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FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
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Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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image-classificationA collection of SOTA Image Classification Models in PyTorch
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transform-graphql⚙️ Transformer function to transform GraphQL Directives. Create model CRUD directive for example
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