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Extensible memoizing collections and decorators
Distributed LLM inference for mobile, desktop and server.
Asynchronous HTTP client/server framework for asyncio and Python
Asyncio cache manager for redis, memcached and memory
how to learn PyTorch and OneFlow
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
🔥 基于MNN-llm的安卓手机部署大语言模型：Qwen1.5-0.5B-Chat
A fully typed LMDB wrapper with minimum overhead 🐦
Solve puzzles. Improve your pytorch.
A collection of learning resources for curious software engineers
🚀Apache RocketMQ(5.0) Rust implementation. Faster, safer, and with lower memory usage.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…
AutoML 2024: HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection
[ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
a rust crate for easily implementing faster-whisper stt into your rust programs.
Rust bindings to the https://github.com/coqui-ai TTS library
Japanese text preprocessor for Text-to-Speech applications (OpenJTalk rewrite in rust language)
How to use AI to generate unit tests
Generate unit testing boilerplate from kotlin files.
TestMe IntelliJ IDEA Plugin - Auto generates Unit Test code
Auto-Unit-Test-Case-Generator automatically generates high-level code-coverage JUnit test suites for Java, widely used within the ANT Group.
