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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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Files returned by OpenAgentSkill since Oct 14, 2026. Signed-in accounts only; repeat downloads of the same Skill count once per UTC day. Excludes source-site downloads, command copies and installs. Counts may take 5 minutes to update.
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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mix…
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Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
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✨Fast Coreference Resolution in spaCy with Neural Networks
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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
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This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
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Reformer, the efficient Transformer, in Pytorch
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🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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The 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 Conversational AI JavaScript Library 💬 — UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more 🧡 React, Next.js, and plain Java…
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A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
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[ICML 2025] Official PyTorch Implementation of "History-Guided Video Diffusion"
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An annotated implementation of the Transformer paper.
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[ICLR2025] Kolmogorov-Arnold Transformer
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A blazing fast inference solution for text embeddings models
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[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
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Latency and Memory Analysis of Transformer Models for Training and Inference