Transformers
Showing 26 of 26 projects
A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
Fast, state-of-the-art tokenizers for training and tokenization, optimized for both research and production.
An open-source Android app for real-time, offline voice translation between multiple languages using on-device AI models.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
An LLM acceleration library for Intel XPU (GPU, NPU, CPU) to speed up local inference and finetuning of popular models.
An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.
An open-source offline translation library and toolkit written in Python, supporting over 30 languages via downloadable language models.
An end-to-end framework for building custom AI applications and agents directly integrated with databases.
A JAX library for rapid prototyping of large-scale attention-based vision models across images, video, audio, and multimodal data.
Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
A GPT-2 variant that generates plausible fake words, definitions, and usage examples from scratch.
A collection of BERT-like transformer models pre-trained on chemical SMILES data for drug design and property prediction.
An on-device AI teleprompter that listens to your conversations and suggests charismatic quotes in real-time.
A pure Go package for running inference with pre-trained Transformer models from Hugging Face, enabling NLP tasks without external languages.
Unofficial JAX/Flax implementations of deep learning research papers for vision transformers and other architectures.
A collection of pre-trained BERT, DistilBERT, ELECTRA, GPT-2, and ConvBERT models for multiple languages, including German, Italian, Turkish, and historic texts.
A GPT-2 model trained from scratch on password leaks for password modeling, generation, and strength estimation.
A curated collection of books covering Artificial Intelligence, Machine Learning, Deep Learning, and Transformers for students and professionals.
Universal 1D/2D data containers with sklearn-compatible transformers for heterogeneous tabular data analysis.
A minimal JAX/Flax implementation of DETR with optimizations like Flash Attention and Sinkhorn solver.
A framework for evaluating German transformer language models using syntactic agreement tests.
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