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- Implementing Linear Regression using PyTorch In PyTorch, many platforms (local machine, cloud, and mobile) can be used to implement Linear Regression. Below is a snip showing the different platform options. We will see the implementation on local machine. Before diving into the code, the PyTorch package needs to be installed.
- PyTorch is one such library. In the last few weeks, I have been dabbling a bit in PyTorch. If you prefer to approach the following concepts in a structured format, you can enrol for this free course on...
- Deep-reinforcement-learning-with-pytorch. pytorch implementation of dqn, ac, acer, a2c, a3c, pg, ddpg, trpo, ppo, sac, td3 and .... All of the smaller projects I have done in tutorials / project files.
- See full list on github.com

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- Ppo pytorch tutorial. Companion library of the book "Foundations of Deep Reinforcement PyTorch Lightning Basic GAN Tutorial. The ultimate aim is to use these general-purpose technologies and...
- PyTorch is an open-source deep learning library rising in popularity among data scientists. PyTorch's combination of powerful deep neural network building tools and ease-of-use make it a...
- See full list on github.com
- Codes with both TensorFlow 2 and PyTorch 1 This is a tutorial book on reinforcement learning, with explanation of theory and Python implementation. Theory: Starting from a uniform mathematical framework, this book derives the theory and algorithms of reinforcement learning, including all major algorithms such as eligibility traces and soft ...

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