TensorFlow-Tutorials
YOLO_Object_Detection
| TensorFlow-Tutorials | YOLO_Object_Detection | |
|---|---|---|
| 2 | 2 | |
| 9,250 | 1,709 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 only |
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TensorFlow-Tutorials
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Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
YOLO_Object_Detection
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Model takes seconds to train per epoch with 1 accuracy
But using GANs for a newperson is maybe asking too much. See if you can find weights for yolo and just finetune it https://github.com/llSourcell/YOLO_Object_Detection
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Plagiarism is just bad
is a blatant lie. He didn't modify anything but the README as far as I am aware. He uses the exact same sentence in many of his cloned repos, see also this and this. But that's beside the point because the right thing to do would to fork a repository if you just want to make minor changes, or star it and share the original repo link on his YouTube channel if all he does is doing quick walkthroughs through the source code with arguably bad explanations.
What are some alternatives?
car-damage-detection - Detectron2 for car damage detection using custom dataset
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Practical_RL - A course in reinforcement learning in the wild
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
TextWorld - TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN
IU-Reinforcement-Learning-22-lab - This repository contains the lab material for the Reinforcement Learning F22 course prepared for Innopolis University Master's students.