Statistics for topic transformer
RepositoryStats tracks 584,796 Github repositories, of these 1,000 are tagged with the transformer topic. The most common primary language for repositories using this topic is Python (733). Other languages include: Jupyter Notebook (124), TypeScript (18), C++ (16)
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A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
SGLang is a fast serving framework for large language models and vision language models.
"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"
multispy is a lsp client library in Python intended to be used to build applications around language servers.
[ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"
[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
A PyTorch implementation of DTrOCR: Decoder-only Transformer for Optical Character Recognition
SGLang is a fast serving framework for large language models and vision language models.
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Lumina-T2X is a unified framework for Text to Any Modality Generation
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
SGLang is a fast serving framework for large language models and vision language models.
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)