aya-se's Stars
llm-jp/llm-jp-eval
ghmagazine/llm-book
「大規模言語モデル入門」(2023)と「大規模言語モデル入門Ⅱ〜生成型LLMの実装と評価」(2024)のGitHubリポジトリ
AI-Hypercomputer/maxtext
A simple, performant and scalable Jax LLM!
AI-Hypercomputer/JetStream
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
AI-Hypercomputer/jetstream-pytorch
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
shibuiwilliam/building-ml-system
building machine learning system
shibuiwilliam/ml-system-in-actions
machine learning system examples
magic-spreadsheets/magic-spreadsheets.github.io
ITエンジニアインターン情報が集まる魔法のスプレッドシート
MasayaAoyama/kubernetes-perfect-guide
『Kubernetes完全ガイド』の付録マニフェストのリポジトリ / "Kubernetes perfect guide" sample manifest repository
itsp-pbl-2023/kagayaki
チームBのリポジトリ
smly/kaggle-book-gokui
付録コード
salesforce/query-focused-sum
Official code repository for "Exploring Neural Models for Query-Focused Summarization".
salesforce/QAFactEval
tomomano/learn-aws-by-coding-source-code
tomomano/learn-aws-by-coding
コードで学ぶAWS入門
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
toshioendo/ppcomp
Lecture of Practical Parallel Computing