Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tensorflow Examples | 43,109 | 3 months ago | 218 | other | Jupyter Notebook | |||||
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
Data Science Ipython Notebooks | 25,668 | 7 months ago | 34 | other | Python | |||||
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | ||||||||||
Jina | 19,573 | 16 | 4 months ago | 2,453 | December 01, 2023 | 19 | apache-2.0 | Python | ||
☁️ Build multimodal AI applications with cloud-native stack | ||||||||||
Pytorch Handbook | 18,594 | 9 months ago | 52 | Jupyter Notebook | ||||||
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行 | ||||||||||
Fashion Mnist | 9,856 | 2 years ago | 24 | mit | Python | |||||
A MNIST-like fashion product database. Benchmark :point_down: | ||||||||||
Keras Js | 4,879 | 31 | 8 | 2 years ago | 7 | February 09, 2018 | 83 | mit | JavaScript | |
Run Keras models in the browser, with GPU support using WebGL | ||||||||||
Alae | 2,850 | 3 years ago | 31 | Python | ||||||
[CVPR2020] Adversarial Latent Autoencoders | ||||||||||
Determined | 2,715 | 1 | 3 months ago | 221 | April 24, 2021 | 142 | apache-2.0 | Go | ||
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. | ||||||||||
Pipcook | 2,483 | 38 | 3 months ago | 104 | May 13, 2021 | 111 | apache-2.0 | TypeScript | ||
Machine learning platform for Web developers | ||||||||||
Alibi | 2,257 | 9 | 17 | 3 months ago | 31 | July 07, 2023 | 145 | other | Python | |
Algorithms for explaining machine learning models |