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Convert Machine Learning Code Between Frameworks
Fork of kingoflolz/mesh-transformer-jax with memory usage optimizations and support for GPT-Neo, GPT-NeoX, BLOOM, OPT and fairseq dense LM. Primarily used by KoboldAI and mtj-softtuner.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Training and serving large-scale neural networks with auto parallelization.
XQuartz / xquartz.github.io
Forked from mackyle/xquartz-infoXQuartz website source
Framework to interpret and transpile JVM bytecode to JavaScript, OpenCL or WebAssembly.
A proof-of-concept microkernel that implements a WebAssembly "usermode" that runs in Ring 0.
Syscall and helper library for the Casio FX-CG (Prizm) color graphing calculator
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly