deep-neural-networks
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The most cited deep learning papers
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Oct 25, 2019 - 168 commits
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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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Oct 25, 2019 - 16 commits
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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).
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Oct 26, 2019 - 620 commits
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pix2code: Generating Code from a Graphical User Interface Screenshot
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Oct 25, 2019 - 23 commits
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machine learning and deep learning tutorials, articles and other resources
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Oct 25, 2019 - 299 commits
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
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Oct 24, 2019 - 1 commits
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Caffe2 is a lightweight, modular, and scalable deep learning framework.
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Oct 25, 2019 - 3 commits
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Learn OpenCV : C++ and Python Examples
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Oct 26, 2019 - 714 commits
- Jupyter Notebook
Support for storing large tensor values in external files was introduced in #678, but AFAICT is undocumented.
This is a pretty important feature, functionally, but it's also important for end users who may not realise that they need to move around more than just the *.onnx file.
I would suggest it should be documented in IR.md, and perhaps there are other locations from which it could be s
Latex code for making neural networks diagrams
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Oct 25, 2019 - 47 commits
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A paper list of object detection using deep learning.
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Oct 26, 2019 - 130 commits
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Oct 26, 2019 - 108 commits
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
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Oct 26, 2019 - 692 commits
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Mapping a variable-length sentence to a fixed-length vector using BERT model
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Oct 26, 2019 - 1 commits
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Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
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Oct 25, 2019 - 1 commits
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Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
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Oct 26, 2019 - 542 commits
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The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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Oct 25, 2019 - 429 commits
Synthesizing and manipulating 2048x1024 images with conditional GANs
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Oct 25, 2019 - 40 commits
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System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux
- TensorFlow Serving installed from (source or binary): Binary
- TensorFlow Serving version: Stable
Describe the problem
The documentation shows how you can save assets but not how you can load assets back into the model. I have a 14GB embedding that requires preprocessing that I would li
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
TensorFlow documentation
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Oct 25, 2019 - 6 commits
- Jupyter Notebook
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
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Oct 25, 2019 - 536 commits
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:alarm_clock: AI conference deadline countdowns
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Oct 25, 2019 - 496 commits
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PyTorch implementation of Super SloMo by Jiang et al.
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Oct 25, 2019 - 40 commits
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The memory primitives are created using a void-pointer: memory(const primitive_desc &adesc, void *ahandle)
If I have code like this:
std::vector<float> foo(const std::vector<float>& input){
auto engine = ...;
auto desc = ...;
auto memory = memory({desc, engine}, input.data);
// Call some operator and return result from another buffer
}
- What happens to my memory?
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
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Oct 23, 2019 - 88 commits
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The Fastest DNN Running Framework on Web Browser
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Oct 23, 2019 - 1 commits
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