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13 search results found

Tensorspace ⭐ 4,487

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Visual Interaction Networks Pytorch ⭐ 164

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Daily Question ⭐ 161

每日一题（涉及但不仅限于机器学习、深度学习和计算机视觉等方向）

Learning Nvdla Notes ⭐ 117

NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit. Contact Me:[email protected]

自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Ncov_sentiment ⭐ 28

疫情期间网民情绪识别比赛baseline，使用BERT进行端到端的fine-tuning，dataf

Paperlist_nlp_ir_rec_ai_conference ⭐ 13

2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录，方便直

Tibetanmnist ⭐ 10

MNIST of Tibetan handwriting 国产手写藏文MNIST数据集（TibetanMNIST）的图像分类处理与各种好玩的脑洞~

"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/1

Machine Learning Docs ⭐ 5

Free (libre) Machine Learning Documentation & Guides

This library is designed to generate visualizations of neural networks by analyzing PyTorch code. Unlike conventional methods, our approach eliminates the need for large parameter files (pth) or specific input formats. With minimal AI knowledge, users can leverage this tool to create visualizations that aid in understanding complex networks.

a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java

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