Deepfakes Software For All
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Updated
Sep 24, 2019 - 891 commits
- 61 contributors
- Python
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Deepfakes Software For All
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
machine learning and deep learning tutorials, articles and other resources
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Learn OpenCV : C++ and Python Examples
After some talks at ICML and NeurIPS during one of the workshops we co-organize with @wbailer, we figured out that Horovod would potentially be a very interesting framework to facilitate research on optimizing distributed DL workloads.
Aforementioned Workshops:
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Visualizer for neural network, deep learning and machine learning models
A paper list of object detection using deep learning.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
:metal: awesome-semantic-segmentation
A general-purpose encoder-decoder framework for Tensorflow
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Simple PyTorch Tutorials Zero to ALL!
In operations_broadcast_test.go there are some tests that are not yet filled in. The point is to test that broadcasting works for different shapes. The semantics of broadcast probably isn't clear, so please do send me a message for anything.
This is a good first issue for anyone looking to get interested
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
It is open source ebook about TensorFlow kernel and implementation mechanism.
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Curated list of Python resources for data science.
Concerning the tutorial here:
https://deeplearning4j.org/tutorials/04-feed-forward
A number of possible corrections I may or may not be right about:
The first example has an input and output layer but it says:
"As you can see above that we have made a feed-forward network configuration with one hidden layer. "
Also the input layer is a DenseLayer, not a FeedForwardLayer as I would assume it
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
List of articles related to deep learning applied to music
Learning Chinese Character style with conditional GAN
[UNMAINTAINED] Automated machine learning for analytics & production
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Tensorflow implementation of DeepFM for CTR prediction.
Issue Description
I'm unable to run DL4J with nvidia CUDA back end despiite following the instructions here:
https://deeplearning4j.org/docs/latest/deeplearning4j-config-gpu-cpu
Project works fine with native back end. When I debug, I can see the service loader finding the JCublasBackend.java class and then failing on isAvailable().
As far as I can tell I've done everything recommende