Pytorch-PCGrad VS pytorch-grad-norm

Compare Pytorch-PCGrad vs pytorch-grad-norm and see what are their differences.

pytorch-grad-norm

Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients. (by brianlan)
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Pytorch-PCGrad pytorch-grad-norm
1 1
265 236
- -
1.8 0.0
almost 3 years ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Pytorch-PCGrad

Posts with mentions or reviews of Pytorch-PCGrad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-11.

pytorch-grad-norm

Posts with mentions or reviews of pytorch-grad-norm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-11.

What are some alternatives?

When comparing Pytorch-PCGrad and pytorch-grad-norm you can also consider the following projects:

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

muzero-general - MuZero

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.