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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

Open neural machine translation models and web services

Training open neural machine translation models

A repository for models generated with https://github.com/argosopentech/onmt-models and used by LibreTranslate

Open-source offline translation library written in Python

Fast Segment Anything

This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024

Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

Llama中文社区，最好的中文Llama大模型，完全开源可商用

EVA Series: Visual Representation Fantasies from BAAI

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

ppl.cv is a high-performance image processing library of openPPL supporting various platforms.

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

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Count number of parameters / MACs / FLOPS for ONNX models.

Simplify your onnx model

ONNX-TensorRT: TensorRT backend for ONNX

Count the MACs / FLOPs of your PyTorch model.

Open standard for machine learning interoperability

JSON for Modern C++

《Pytorch模型训练实用教程》中配套代码

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Visualizer for neural network, deep learning and machine learning models