Statistics for topic tensorflow2
RepositoryStats tracks 518,988 Github repositories, of these 230 are tagged with the tensorflow2 topic. The most common primary language for repositories using this topic is Python (136). Other languages include: Jupyter Notebook (73)
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deep learning for image processing including classification and object-detection etc.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Tools to Design or Visualize Architecture of Neural Network
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Synthetic data generators for tabular and time-series data
deep learning for image processing including classification and object-detection etc.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
A resource for learning about Machine learning & Deep Learning
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
Cuda installation on WSL2 Ubuntu 20.04 and Windows11
Google TensorFlow Developer Certificate Study Guide
lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
deep learning for image processing including classification and object-detection etc.
A resource for learning about Machine learning & Deep Learning
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Cuda installation on WSL2 Ubuntu 20.04 and Windows11
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
For the spectral information of bacteria, the multi-branch attention mechanism of the tensorflow architecture and the convolutional neural network training model are used to distinguish bacterial type...
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
deep learning for image processing including classification and object-detection etc.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A resource for learning about Machine learning & Deep Learning
UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
Generative modeling of synthetic time series data and time series augmentations
Cuda installation on WSL2 Ubuntu 20.04 and Windows11
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.