Another curated list of Python frameworks
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Updated
Jun 3, 2024 - Python
Another curated list of Python frameworks
Making large AI models cheaper, faster and more accessible
AI for all: Build the large graph of the language models
A computational system using Docker, buildpack to simplify the processing of all kind of tasks.
Tensorlink is a distributed computing framework based on CUDA API-Forwarding
Distributed DataFrame for Python designed for the cloud, powered by Rust
A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.
Multi-platform Scheduling and Workflows Engine
A distributed task scheduler for Dask
The open-source serverless GPU container runtime.
Prime95 source code from GIMPS to find Mersenne Prime.
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.
Tensor parallelism is all you need. Run LLMs on weak devices or make powerful devices even more powerful by distributing the workload and dividing the RAM usage.
The current, performant & industrial strength version of Holochain on Rust.
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
CipherSwarm is a distributed hash cracking system designed for efficiency and scalability, built on Ruby on Rails.
CipherSwarm Go Agent is a high-performance component of the CipherSwarm ecosystem, designed to manage and execute distributed hash cracking tasks efficiently.
Short self-contained descriptions of distributed algorithms suitable for 2nd year undergraduates.
Distributed model training and inference for PyTorch.
The library for developing distributed Erlang applications
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