#
deep-neural-networks
Here are 5,158 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 1, 2021 - Python
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
Sep 3, 2021 - Python
The most cited deep learning papers
-
Updated
Aug 27, 2020 - TeX
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-neural-networks
computer-vision
deep-learning
neural-network
dnn
yolo
object-detection
deep-learning-tutorial
yolov3
yolov4
scaledyolov4
scaled-yolov4
-
Updated
Aug 31, 2021 - C
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
Aug 27, 2021 - 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
Aug 30, 2021 - Jupyter Notebook
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 2, 2021
chan4cc
commented
Apr 26, 2021
New Operator
Describe the operator
Why is this operator necessary? What does it accomplish?
This is a frequently used operator in tensorflow/keras
Can this operator be constructed using existing onnx operators?
If so, why not add it as a function?
I don't know.
Is this operator used by any model currently? Which one?
Are you willing to contribute it?
pix2code: Generating Code from a Graphical User Interface Screenshot
-
Updated
Aug 25, 2021 - Python
A paper list of object detection using deep learning.
-
Updated
Oct 9, 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
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
machine-translation
deep-reinforcement-learning
medical-imaging
speech-recognition
artificial-neural-networks
pattern-recognition
probabilistic-graphical-models
bayesian-statistics
artificial-intelligence-algorithms
visual-recognition
graph-neural-networks
-
Updated
Aug 26, 2021
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
Jul 1, 2021 - Python
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
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
-
Updated
Jul 22, 2021
Caffe2 is a lightweight, modular, and scalable deep learning framework.
-
Updated
Nov 21, 2018 - Shell
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
Sep 3, 2021 - Python
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 3, 2021 - C++
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
Aug 25, 2021 - 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
Aug 26, 2021 - 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
Sep 3, 2021 - Python
A flexible, high-performance serving system for machine learning models
-
Updated
Sep 3, 2021 - C++
TensorFlow documentation
documentation
machine-learning
deep-neural-networks
deep-learning
tensorflow
tensorflow-tutorials
tensorflow-examples
-
Updated
Sep 3, 2021 - 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://intellabs.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
Feb 26, 2021 - Jupyter Notebook
machine-learning
natural-language-processing
deep-neural-networks
computer-vision
deep-learning
robotics
artificial-intelligence
-
Updated
Aug 25, 2021 - HTML
android
deep-neural-networks
deep-learning
model-zoo
pytorch
object-detection
mnn
shufflenet
ncnn
openvino
anchor-free
efficientnet
repvgg
-
Updated
Sep 1, 2021 - Python
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
react
python
angularjs
flask
c-plus-plus
tutorial
deep-neural-networks
deep-learning
mxnet
rest-api
production
keras
pytorch
tensorflow-models
tesnorflow
model-serving
caffe2
serving
serving-pytorch-models
convert-pytorch-models
-
Updated
Jun 20, 2021
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."
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.