Tensorflow Triplet Loss
omoindrot
Implementation of triplet loss in TensorFlow
ResearchReview before use
1.1KGitHub
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Results · “tensorflow-tutorials”
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Results: 8
Haystack Tutorials
deepset-ai
Here you can find all the Tutorials for Haystack 📓
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365GitHub
ray-data
OpenRaiser
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales f…
1.4KGitHub
Multi Class Text Classification Cnn Rnn
jiegzhan
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
ResearchReview before use
603GitHub
Awesome Architecture
study8677
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, codi…
ResearchReview before use
1.3KGitHub
academy-guide
anthropics
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases…
ResearchClaude Code
173KGitHub
DeepRec
DeepRec-AI
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
ResearchReview before use
1.2KGitHub
code-documenter
Jeffallan
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding…
ResearchClaude Code
11.3KGitHub
External platform skills
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