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Dec 1, 2023 · Mamba is a new neural network architecture that uses selective state spaces to improve content-based reasoning and efficiency on long sequences. The paper presents Mamba's design, algorithm, and performance on various modalities such as language, audio, and genomics.
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mamba is a reimplementation of the conda package manager in C++.
•parallel downloading of repository data and package files using multi-threading
•libsolv for much faster dependency solving, a state of the art library used in the RPM package manager of Red Hat, Fedora and OpenSUSE
•core parts of mamba are implemented in C++ for maximum efficiency
At the same time, mamba utilizes the same command line parser, package installation and deinstallation code and transaction verification routines as conda to stay as compatible as possible.
Mamba is part of a bigger ecosystem to make scientific packaging more sustainable. You can read our announcement blog post. The ecosystem also consists of quetz, an open source conda package server and boa, a fast conda package builder.
Please refer to the mamba and micromamba installation guide in the documentation.
repoquery
To efficiently query repositories and query package dependencies you can use mamba repoquery or micromamba repoquery. See the repoquery documentation for details.
Installing lock files
micromamba can be used to install lock files generated by conda-lock without having to install conda-lock. Simply invoke e.g. micromamba create -n my-env -f conda-lock.yml with an environment lockfile named *-lock.yml or *-lock.yaml.
setup-micromamba (setup-miniconda replacement)
setup-micromamba is a replacement for setup-miniconda that uses micromamba. It can significantly reduce your CI setup time by: •Using micromamba, which takes around 1 s to install. •Caching package downloads. •Caching entire conda environments.
micromamba is a small, pure-C++ reimplementation of mamba/conda. It strives to be a full replacement for mamba and conda. As such, it doesn't use any conda code (in fact it doesn't require Python at all).
See the documentation on micromamba for details.
Please refer to the instructions given by the official documentation.
For questions, you can also join us on the QuantStack Chat or on the Conda channel (note that this project is not officially affiliated with conda or Anaconda Inc.).
Biweekly Dev Meeting
We have videoconference meetings every two weeks where we discuss what we have been working on and get feedback from one another. Anyone is welcome to attend, if they would like to discuss a topic or just listen in. •When: Tuesday 4:00 PM CET (Europe) •Where: Mamba jitsi •What: Meeting notes
Mamba is a C++ reimplementation of conda that uses libsolv for faster dependency solving. It is part of a bigger ecosystem of scientific packaging tools, such as quetz and boa.
Mamba is a new architecture based on selective state spaces that shows promising performance on information-dense data such as language modeling. It is implemented in PyTorch and has pretrained models available on Hugging Face.
Learn about the black mamba, Africa's longest and fastest venomous snake, and its behavior, range, and threats. See stunning photos and videos of this fearsome serpent and its deadly bite.
Mamba is a fast package and environment manager for Python. Learn how to install Mamba using Miniforge distribution, conda-forge channel, or docker images.
The black mamba (Dendroaspis polylepis) is a highly venomous snake species native to various parts of sub-Saharan Africa. Black mambas are fast-moving, nervous snakes that will strike when threatened.
