GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
models/object_detection at master · tensorflow/models · GitHub
README.md Tensorflow Object Detection API Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found
models/mobilenet_v1.md at master · tensorflow/models · GitHub
MobileNet_v1 MobileNets are small, low-latency, low-power models parameterized to meet the resource constraints of a variety of use cases. They can be built upon for classification, detection, embeddings and segmentation similar to how other popular large scale models, such as Inception, are used. MobileNets can be run efficiently on mobile devices with TensorFlow Mobile . MobileNets trade off bet
ImportError (in import tensorflw-gpu as tf) : Tensorflow windows10, CUDA8.0/cuDNN5.1 and python 3.5.2 · Issue #9484 · tensorflow/tensorflow
Hi, i am facing an issue if importError on a setup ! Windows10, Microsoft visual studio (2017) CUDA 8.0/cuDNN5.1 Python 3.5.2 PATH for CUDA, cuDNN5.1 Libraries/bin/include set properly !! Setup is created with Docker & tensorflow-gpu environment While i am trying to verify my installation with "import tensorflow-gpu as tf", encountering with ImportError: python library specific errors. pl do sugge
deep-learning-book/code/model_zoo at master · rasbt/deep-learning-book · GitHub
Model Zoo A collection of standalone TensorFlow and PyTorch models in Jupyter Notebooks. Classifiers Perceptron [TensorFlow] [PyTorch] Logistic Regression [TensorFlow] [PyTorch] Softmax Regression (Multinomial Logistic Regression) [TensorFlow] [PyTorch] Multilayer Perceptron [TensorFlow] [PyTorch] Multilayer Perceptron with Dropout [TensorFlow] [PyTorch] Multilayer Perceptron with Batch Normalizat
magenta/magenta/models/sketch_rnn/README.md at main · magenta/magenta
Before jumping in on any code examples, please first set up your Magenta environment. Examples of vector images produced by this generative model. This repo contains the TensorFlow code for sketch-rnn, the recurrent neural network model described in Teaching Machines to Draw and A Neural Representation of Sketch Drawings. We've also provided a Jupyter notebook Sketch_RNN.ipynb in our Magenta Demos
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tensorflow/RELEASE.md at r1.2 · tensorflow/tensorflow
tensorflow/tensorflow/docs_src/api_guides/python/contrib.seq2seq.md at 21c774cc1fc2aec8fd469c4f622fe7478b761e51 · tensorflow/tensorflow
tensorflow/tensorflow/python/ops/clip_ops.py at r1.1 · tensorflow/tensorflow
tensorflow/tensorflow/contrib/learn/python/learn/datasets/mnist.py at be1a443958a2ba205cd0b7b22529e6fbc0b229aa · tensorflow/tensorflow
Crash: Could not create cuDNN handle when convnets are used · Issue #6698 · tensorflow/tensorflow
GitHub - elastic/kibana: Your window into the Elastic Stack
magenta/magenta/models/nsynth at main · magenta/magenta
GitHub - has2k1/plotnine: A Grammar of Graphics for Python
GitHub - C-JSN/D3-ID3: iD3: an Integrated Development Environment for D3.js
[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn![[WIP] Decision tree export to javascript by tokoroten · Pull Request #5054 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/30e533e5ac6d7825f4f21412e87386830cdd2ad0/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F01ea0a057c20334990becc08cc6ce8b441fd2df506145c728cbff59db241ed01%2Fscikit-learn%2Fscikit-learn%2Fpull%2F5054)
[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn![[WIP] Categorical split for decision tree by MatthieuBizien · Pull Request #3346 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/9b2fdf963d1410a6677e08e076cc0d97542213be/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Fbf7132a3cb1f343a957bd25b32ba488ca7e11ab1d23ead43bbe809c6518b0bc2%2Fscikit-learn%2Fscikit-learn%2Fpull%2F3346)
[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn![[MRG+1]: Add decision tree plotting. by nvdv · Pull Request #6380 · scikit-learn/scikit-learn](https://cdn-ak-scissors.b.st-hatena.com/image/square/944e7e79f4db2c823bf3775278f09c91a940b1e2/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Ffe0799c7217b44d8b9490cb326870a75c19ba5365d57c6ede31234131feeb4b7%2Fscikit-learn%2Fscikit-learn%2Fpull%2F6380)
GitHub - mwaskom/seaborn: Statistical data visualization in Python
GitHub - tensorflow/ecosystem: Integration of TensorFlow with other open-source frameworks
