Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tts | 8,144 | 6 months ago | 21 | mpl-2.0 | Jupyter Notebook | |||||
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) | ||||||||||
Super Slomo | 2,873 | a year ago | 29 | mit | Python | |||||
PyTorch implementation of Super SloMo by Jiang et al. | ||||||||||
Bmw Tensorflow Training Gui | 954 | 6 months ago | apache-2.0 | Python | ||||||
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy. | ||||||||||
What If Tool | 864 | 4 | 4 months ago | 38 | October 12, 2021 | 83 | apache-2.0 | HTML | ||
Source code/webpage/demos for the What-If Tool | ||||||||||
Bmw Yolov4 Training Automation | 630 | 10 months ago | 9 | bsd-3-clause | Python | |||||
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy. | ||||||||||
Cs224n Squad Project | 389 | 4 years ago | 17 | Jupyter Notebook | ||||||
Activation Visualization Histogram | 375 | 7 years ago | mit | Python | ||||||
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc. | ||||||||||
Tf_audio_steganalysis | 355 | a year ago | 3 | gpl-3.0 | Python | |||||
Audio steganalysis with tensorflow. | ||||||||||
Deepchatmodels | 311 | 7 years ago | 3 | mit | Python | |||||
Conversation models in TensorFlow. (website removed) | ||||||||||
Ties 2.0 | 260 | a year ago | 32 | mit | Python | |||||
Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019) |