acme
taichi
acme | taichi | |
---|---|---|
11 | 36 | |
3,373 | 24,760 | |
1.4% | 1.3% | |
6.0 | 9.1 | |
5 days ago | 8 days ago | |
Python | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
acme
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Fast and hackable frameworks for RL research
I'm tired of having my 200m frames of Atari take 5 days to run with dopamine, so I'm looking for another framework to use. I haven't been able to find one that's fast and hackable, preferably distributed or with vectorized environments. Anybody have suggestions? seed-rl seems promising but is archived (and in TF2). sample-factory seems super fast but to the best of my knowledge doesn't work with replay buffers. I've been trying to get acme working but documentation is sparse and many of the features are broken.
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How much of a MuJoCo simulation or real life robot can you train on a 3090?
I'm training a few algorithms from Deepmind's acme library on some MuJoCo models and I'm wondering how long this will take to train and what it's going to do to my electric bill. Is a 3090 or two enough to train something to keep its balance, or do a task, or do I need to wait for the 8090 to come out?
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Recomendations of framework/library for MARL
Recently dm-acme also added support for multi-agent environments. Acme: https://github.com/deepmind/acme
- Have you used any good DRL library?
- Is there a way to get PPO controlled agents to move a little more gracefully?
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Worthwhile to convert custom env to be dm_env compatible?
Can anyone speak to their experience using acme (https://github.com/deepmind/acme) and by extension dm_env (https://github.com/deepmind/dm_env)? I'm wondering if it would be worthwhile for me to invest the time into converting my custom environment (which loosely follows the standard RL setup) over to this format.
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[D] Physics and Reinforcement Learning - Discussion of Deepmind's work
acme/acme/agents/tf/mpo at master · deepmind/acme · GitHub
- Applied resources in Pytorch?
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deepmind acme compatible with windows?
after installing it in a clean env, I tried to run the example provided for solving the gym cartpole env: https://github.com/deepmind/acme/blob/master/examples/control/run_d4pg_gym.py
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Spec for RL agent implementation?
Acme has a slightly different one: https://github.com/deepmind/acme which includes specs for agents, buffers etc. It is very general. You can see their component description here: https://github.com/deepmind/acme/blob/master/docs/components.md
taichi
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This Week In Python
taichi – Productive, portable, and performant GPU programming in Python
- Taichi: Accessible GPU programming, embedded in Python
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The GIL can now be disabled in Python's main branch
ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.
https://www.taichi-lang.org/
https://www.researchgate.net/publication/337118128_Taichi_a_...
https://github.com/taichi-dev/taichi
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Taichi v1.5.0 Released! See what's new👇
Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.
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You Don't Know Jax
I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)
- How can I get into this type of animation with programming?
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Taichi v1.4.0 released!
Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.
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Is Nvidia CUDA Used in VFX Software Tools?
Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.
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Marching squares algorithm implemented with Taichi: Struct Taichi fields and dynamic SNodes are used to represent line segments, and linear interpolation applied to smoothen the boundaries.
It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851
What are some alternatives?
dm_env - A Python interface for reinforcement learning environments
Halide - a language for fast, portable data-parallel computation
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
dolfinx - Next generation FEniCS problem solving environment
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
MPO - Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
tonic - Tonic RL library
copilot.vim - Neovim plugin for GitHub Copilot
selfhosted-apps-docker - Guide by Example
open-im-server - IM Chat