Top 23 Jupyter Notebook Kera Projects
A course in reinforcement learning in the wildProject mention: [D] implementation of MCTS in Python | reddit.com/r/MachineLearning | 2021-12-04
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural NetworksProject mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
Building Large-Scale AI Applications for Distributed Big DataProject mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05
Intel BigDL for Spark which again is for Spark.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and moreProject mention: Looking for deeper understanding of AlphaZero algorithm | reddit.com/r/baduk | 2021-03-01
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNXProject mention: 💊Your daily dose of machine learning : converting deep learning models to ONNX format | reddit.com/r/learnmachinelearning | 2021-12-08
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflow-onnx
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demoProject mention: Interactive Machine Learning Experiments | news.ycombinator.com | 2021-08-09
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolutionProject mention: How to train "models" for opensv edsr (iam super noob) | reddit.com/r/deeplearning | 2021-10-20
And thanks ! so it means that I need to train it with one of these trainers inside this project for example https://github.com/krasserm/super-resolution And that means that iam forced to use python (at least for training) but it's OK 🙃
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
ktrain is a Python library that makes deep learning and AI more accessible and easier to applyProject mention: Use TensorFlow to run basic regressions like Google AutoML (tabular) | reddit.com/r/tensorflow | 2021-04-30
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱Project mention: Show HN: Probe PyTorch Models | news.ycombinator.com | 2022-01-12
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with TensorflowProject mention: What are the current programming challenges to AI, AGI and the such? | reddit.com/r/agi | 2021-01-23
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.aiProject mention: [D] Anyone deploy DL models with AWS Lambda? Trying to estimate costs | reddit.com/r/MachineLearning | 2021-04-05
https://www.fixmyphoto.ai/ has been deployed "on a serverless React application with AWS lambda functions handling inference" according to the github page.
Train a state-of-the-art yolov3 object detector from scratch!Project mention: help calculating AP for yolov3 on matlab also my recall precision plot looks jank, more info in comments | reddit.com/r/computervision | 2021-03-18
Hey, so im pretty new to this and used https://github.com/AntonMu/TrainYourOwnYOLO to train a yolov3 model for pedestrian detection. I'm using the kitti object detection dataset.
An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlowProject mention: I implemented Fastformer: Additive Attention in TensorFlow | reddit.com/r/tensorflow | 2021-12-27
TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.Project mention: Knowledge distillation with "Function Matching" | reddit.com/r/deeplearning | 2021-07-31
There's a notebook on distributed hyperparameter tuning and it's often not included in the public release of an implementation.
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.Project mention: Semi-Supervised Learning with Paws in TensorFlow | news.ycombinator.com | 2021-05-14
PAWS introduces a way to combine a small fraction of labeled samples with unlabeled ones during the pre-training of vision models. With its simple and unique approach, it sets SOTA in semi-supervised learning that too with far less compute and parameters.
Here's my implementation of PAWS in TensorFlow: https://github.com/sayakpaul/PAWS-TF/
VirNet: A deep attention model for viral reads identificationProject mention: Bad tools that NEED improvement | reddit.com/r/bioinformatics | 2021-12-18
VirNet: several issues with their dependencies not being available. For fun, you have to read the issue opened on their "requirments.txt". Pointed out bad dependencies, and mentioned that the file "requirments.txt" was mispelled and so didn't match the README. They updated the README to reflect the mispelling, left the bad file name and bad dependencies, and closed the issue.
Creative Prediction with Neural NetworksProject mention: Research topic combining cs and music? | reddit.com/r/compsci | 2021-06-24
Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.Project mention: Emotion Detection CNN using keras | dev.to | 2021-08-21
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In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.Project mention: Your Path to Deep Learning | dev.to | 2021-09-02
Workshop 4 Resources
Github repo : https://github.com/Theanayne/handwritten-digits-recognizer-webapp
Modern Deep Learning architectures and tasks implemented in Keras.Project mention: Do it in Keras! - Hacktoberfest | dev.to | 2021-10-03
To contribute to Do it in Keras, you only need to make a pull request on the official Do it in Keras repository. Anything related to Deep Learning with Keras helps, and you can also upload your own implementation of a Deep Learning task.
State of the art faster Natural Language Processing in Tensorflow 2.0 .Project mention: [P] Production Ready NLP Deep learning tutorials on tensorflow 2.0. tf-transformers | reddit.com/r/MachineLearning | 2021-03-16
Jupyter Notebook Keras related posts
Different Outputs on Mac M1 and Windows
1 project | reddit.com/r/tensorflow | 26 Nov 2021
How to train "models" for opensv edsr (iam super noob)
1 project | reddit.com/r/deeplearning | 20 Oct 2021
Do it in Keras! - Hacktoberfest
1 project | dev.to | 3 Oct 2021
Learning Roadmap for Beginners in ML (I'm following it). What do you guys think about it?
1 project | reddit.com/r/learnmachinelearning | 29 Aug 2021
Emotion Detection CNN using keras
1 project | dev.to | 21 Aug 2021
[P] EfficientNet-lite in Keras (functional API).
2 projects | reddit.com/r/MachineLearning | 3 Jul 2021
Research topic combining cs and music?
1 project | reddit.com/r/compsci | 24 Jun 2021
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