super-resolution
Hands-On-Meta-Learning-With-Python
super-resolution | Hands-On-Meta-Learning-With-Python | |
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2 | 2 | |
1,452 | 1,123 | |
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0.0 | 0.0 | |
almost 2 years ago | over 2 years ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | - |
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super-resolution
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Is it not possible to get good results in Deep Learning if dataset is small (1000 images)? [D]
https://github.com/krasserm/super-resolution (Super useful for me)
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How to train "models" for opensv edsr (iam super noob)
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 🙃
Hands-On-Meta-Learning-With-Python
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I had Bing chat try to tackle a coding solution... can't tell if there's anything of value in here. Thoughts?
To implement the self-replication mechanism, I will use pickle2 as the main module for copying and initializing the artificial intelligence. Pickle is a module that can serialize and deserialize Python objects, such as classes, functions, or models. Pickle can also store and load the state of the objects, such as their attributes, parameters, or variables.
- What are the current programming challenges to AI, AGI and the such?
What are some alternatives?
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
EfficientWord-Net - OneShot Learning-based hotword detection.
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
License-super-resolution - A License Plate Image Reconstruction Project in Tensorflow2
SBERT-for-Question-Answering-on-COVID-19-Dataset - Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
SinGAN - Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Practical_RL - A course in reinforcement learning in the wild