Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tensorflow | 175,216 | 327 | 77 | 9 hours ago | 46 | October 23, 2019 | 2,135 | apache-2.0 | C++ | |
An Open Source Machine Learning Framework for Everyone | ||||||||||
Transformers | 102,685 | 64 | 911 | 9 hours ago | 91 | June 21, 2022 | 735 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Keras | 58,497 | 330 | a day ago | 68 | May 13, 2022 | 385 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
Tensorflow Examples | 42,312 | 7 months ago | 218 | other | Jupyter Notebook | |||||
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
Real Time Voice Cloning | 41,693 | a month ago | 129 | other | Python | |||||
Clone a voice in 5 seconds to generate arbitrary speech in real-time | ||||||||||
Ray | 25,871 | 80 | 199 | 11 hours ago | 76 | June 09, 2022 | 2,899 | 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 | 25,025 | a month ago | 33 | 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. | ||||||||||
Handson Ml | 25,003 | a month ago | 136 | apache-2.0 | Jupyter Notebook | |||||
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. | ||||||||||
Netron | 23,071 | 4 | 63 | 18 hours ago | 489 | July 04, 2022 | 26 | mit | JavaScript | |
Visualizer for neural network, deep learning, and machine learning models | ||||||||||
Spleeter | 22,526 | 5 | 17 days ago | 36 | June 10, 2022 | 196 | mit | Python | ||
Deezer source separation library including pretrained models. |
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models. It provides several off-the-shelf popular CTR models for you to use. And it also contains some useful model blocks to help you build your own model quickly.
Have a quick start with the example script ./examples/ctr_predict.py
A small example dataset avazu_1w.txt
is provided in ./datasets
, It is sampled from a kaggle
dataset with 10000 rows.