#
deep-neural-networks
Here are 4,084 public repositories matching this topic...
Deepfakes Software For All
machine-learning
deep-neural-networks
deep-learning
faceswap
neural-networks
face-swap
deeplearning
neural-nets
deepface
deepfakes
fakeapp
deep-face-swap
openfaceswap
myfakeapp
-
Updated
Sep 26, 2020 - Python
The most cited deep learning papers
-
Updated
Aug 27, 2020 - TeX
DeepFaceLab is the leading software for creating deepfakes.
deep-neural-networks
deep-learning
faceswap
neural-networks
face-swap
deeplearning
arxiv
neural-nets
deepface
deepfakes
fakeapp
deep-face-swap
deepfacelab
creating-deepfakes
-
Updated
Oct 2, 2020 - Python
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
python
java
c-sharp
c-plus-plus
machine-learning
deep-neural-networks
deep-learning
neural-network
cntk
distributed
highlight
cognitive-toolkit
-
Updated
Sep 8, 2020 - C++
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-neural-networks
computer-vision
deep-learning
neural-network
dnn
object-detection
deep-learning-tutorial
-
Updated
Sep 30, 2020 - C
Learn OpenCV : C++ and Python Examples
opencv
machine-learning
deep-neural-networks
ai
computer-vision
deep-learning
deeplearning
opencv-library
opencv-python
computervision
opencv3
opencv-tutorial
opencv-cpp
-
Updated
Sep 30, 2020 - Jupyter Notebook
pix2code: Generating Code from a Graphical User Interface Screenshot
-
Updated
Sep 25, 2020 - Python
machine learning and deep learning tutorials, articles and other resources
list
machine-learning
awesome
deep-neural-networks
deep-learning
neural-network
neural-networks
awesome-list
machinelearning
deeplearning
deep-learning-tutorial
-
Updated
Sep 30, 2020
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
-
Updated
Oct 1, 2020 - Python
JonTriebenbach
commented
Sep 2, 2020
Bug Report
These tests were run on s390x. s390x is big-endian architecture.
Failure log for helper_test.py
________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________
self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>
def test_make_tensor(self): # type: () -> None
A paper list of object detection using deep learning.
-
Updated
Sep 26, 2020
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
javascript
webgl
machine-learning
typescript
deep-neural-networks
deep-learning
neural-network
gpu-acceleration
-
Updated
Aug 14, 2019 - TypeScript
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning
natural-language-processing
deep-neural-networks
reinforcement-learning
computer-vision
deep-learning
optimization
deep-reinforcement-learning
artificial-neural-networks
pattern-recognition
probabilistic-graphical-models
bayesian-statistics
artificial-intelligence-algorithms
visual-recognition
-
Updated
Oct 2, 2020
Caffe2 is a lightweight, modular, and scalable deep learning framework.
-
Updated
Nov 21, 2018 - Shell
Mapping a variable-length sentence to a fixed-length vector using BERT model
nlp
machine-learning
natural-language-processing
deep-neural-networks
ai
deep-learning
tensorflow
bert
natural-language-understanding
word-embedding
sentence-encoding
-
Updated
Aug 20, 2020 - Python
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
-
Updated
Oct 1, 2020
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
learning
machine-learning
natural-language-processing
deep-neural-networks
computer-vision
deep-learning
machine
natural-language
deep
python3
machinelearning
deeplearning
natural-language-generation
natural-language-understanding
-
Updated
Oct 2, 2020 - Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
machine-learning
real-time
deep-neural-networks
deep-learning
graph
tensorflow
image-processing
convolutional-networks
convolutional-neural-networks
object-detection
darknet
mobile-development
-
Updated
Sep 25, 2020 - Python
Synthesizing and manipulating 2048x1024 images with conditional GANs
deep-neural-networks
computer-vision
deep-learning
computer-graphics
pytorch
generative-adversarial-network
gan
pix2pix
image-to-image-translation
-
Updated
Jun 25, 2020 - Python
An open source library for deep learning end-to-end dialog systems and chatbots.
nlp
bot
machine-learning
deep-neural-networks
ai
deep-learning
tensorflow
chatbot
artificial-intelligence
named-entity-recognition
question-answering
chitchat
nlp-machine-learning
dialogue-agents
dialogue-systems
slot-filling
entity-extraction
dialogue-manager
intent-classification
intent-detection
-
Updated
Oct 1, 2020 - Python
A flexible, high-performance serving system for machine learning models
-
Updated
Oct 3, 2020 - C++
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
machine-learning
arm
deep-neural-networks
deep-learning
vulkan
ml
convolution
embedded-devices
mnn
winograd-algorithm
-
Updated
Sep 30, 2020 - C++
TensorFlow documentation
documentation
machine-learning
deep-neural-networks
deep-learning
tensorflow
tensorflow-tutorials
tensorflow-examples
-
Updated
Oct 3, 2020 - Jupyter Notebook
chewxy
commented
Jul 1, 2019
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
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
deep-neural-networks
jupyter-notebook
pytorch
regularization
pruning
quantization
group-lasso
distillation
onnx
truncated-svd
network-compression
pruning-structures
early-exit
automl-for-compression
-
Updated
Sep 8, 2020 - Jupyter Notebook
machine-learning
natural-language-processing
deep-neural-networks
computer-vision
deep-learning
robotics
artificial-intelligence
-
Updated
Oct 3, 2020 - HTML
PyTorch implementation of Super SloMo by Jiang et al.
deep-neural-networks
deep-learning
pytorch
dataset
convolutional-neural-networks
slow-motion
pytorch-implmention
frame-interpolation
video-frame-interpolation
super-slomo
slomo
-
Updated
Aug 20, 2020 - Python
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
-
Updated
Aug 10, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the deep-neural-networks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the deep-neural-networks topic, visit your repo's landing page and select "manage topics."
Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:feature_template
System information