TensorFlow-Tutorials
IU-Reinforcement-Learning-22-lab
| TensorFlow-Tutorials | IU-Reinforcement-Learning-22-lab | |
|---|---|---|
| 2 | 1 | |
| 9,250 | 35 | |
| - | - | |
| 0.0 | 10.0 | |
| over 3 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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.
IU-Reinforcement-Learning-22-lab
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For RL newbies (RL labs for the DeepMind's RL course)
You might find this repository helpful to apply what you have been learning in the DeepMind's RL course.
What are some alternatives?
car-damage-detection - Detectron2 for car damage detection using custom dataset
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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