Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Transformers | 88,193 | 64 | 911 | 12 hours ago | 91 | June 21, 2022 | 618 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Real Time Voice Cloning | 40,272 | 7 days ago | 104 | other | Python | |||||
Clone a voice in 5 seconds to generate arbitrary speech in real-time | ||||||||||
Ray | 24,783 | 80 | 199 | 14 hours ago | 76 | June 09, 2022 | 2,897 | 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. | ||||||||||
Netron | 21,769 | 4 | 63 | a day ago | 489 | July 04, 2022 | 22 | mit | JavaScript | |
Visualizer for neural network, deep learning, and machine learning models | ||||||||||
D2l En | 16,954 | 11 days ago | 83 | other | Python | |||||
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge. | ||||||||||
Ncnn | 16,752 | 19 hours ago | 19 | July 01, 2022 | 957 | other | C++ | |||
ncnn is a high-performance neural network inference framework optimized for the mobile platform | ||||||||||
Datasets | 15,626 | 9 | 208 | 14 hours ago | 52 | June 15, 2022 | 523 | apache-2.0 | Python | |
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools | ||||||||||
Deeplearning Models | 15,594 | a month ago | 5 | mit | Jupyter Notebook | |||||
A collection of various deep learning architectures, models, and tips | ||||||||||
Onnx | 14,344 | 148 | 245 | 14 hours ago | 26 | June 18, 2022 | 370 | apache-2.0 | Python | |
Open standard for machine learning interoperability | ||||||||||
Horovod | 13,133 | 20 | 10 | 4 days ago | 72 | June 21, 2022 | 344 | other | Python | |
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. |
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. Also present here are RBM and Helmholtz Machine.
Generated samples will be stored in GAN/{gan_model}/out
(or VAE/{vae_model}/out
, etc) directory during training.
conda env create
source activate generative-models