Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tensorflow | 172,671 | 327 | 77 | 18 hours ago | 46 | October 23, 2019 | 2,240 | apache-2.0 | C++ | |
An Open Source Machine Learning Framework for Everyone | ||||||||||
Transformers | 89,212 | 64 | 911 | 13 hours ago | 91 | June 21, 2022 | 637 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Keras | 57,772 | 330 | a day ago | 68 | May 13, 2022 | 374 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
Tensorflow Examples | 42,312 | 5 months ago | 218 | other | Jupyter Notebook | |||||
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
Real Time Voice Cloning | 40,272 | 11 days ago | 104 | other | Python | |||||
Clone a voice in 5 seconds to generate arbitrary speech in real-time | ||||||||||
Handson Ml | 24,988 | 3 days ago | 136 | apache-2.0 | Jupyter Notebook | |||||
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. | ||||||||||
Ray | 24,853 | 80 | 199 | 11 hours ago | 76 | June 09, 2022 | 2,893 | apache-2.0 | Python | |
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads. | ||||||||||
Data Science Ipython Notebooks | 24,829 | 20 hours 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. | ||||||||||
Netron | 21,821 | 4 | 63 | 15 hours ago | 489 | July 04, 2022 | 22 | mit | JavaScript | |
Visualizer for neural network, deep learning, and machine learning models | ||||||||||
Spleeter | 21,695 | 5 | a month ago | 36 | June 10, 2022 | 189 | mit | Python | ||
Deezer source separation library including pretrained models. |
A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.
The official code used for the Massive Exploration of Neural Machine Translation Architectures paper.
If you use this code for academic purposes, please cite it as:
@ARTICLE{Britz:2017,
author = {{Britz}, Denny and {Goldie}, Anna and {Luong}, Thang and {Le}, Quoc},
title = "{Massive Exploration of Neural Machine Translation Architectures}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprinttype = {arxiv},
eprint = {1703.03906},
primaryClass = "cs.CL",
keywords = {Computer Science - Computation and Language},
year = 2017,
month = mar,
}
This is not an official Google product.