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Stanford GSB X: https://x.com/ProfKuangXu
charting_reality_stochastic_modeling. Public materials for Charting Reality with Stochastic Modeling
meal-lab. Create delicious meal plans using Linear Optimization
rinse-me-gently. Exercise on Instructional LLM Fine-tuning
agentopt. AgentOpt automatically finds the best LLM model combination for each step of your agent — optimizing for accuracy, cost, and latency.
openclaw. Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
llm-d. Achieve state of the art inference performance with modern accelerators on Kubernetes
aibrix. Cost-efficient and pluggable Infrastructure components for GenAI inference
production-stack. vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
KAI-Scheduler. KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
ray. Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Awesome-LLM-Inference-Engine.
sglang. SGLang is a high-performance serving framework for large language models and multimodal models.
splitwise-sim. LLM serving cluster simulator
OpenAI. Swift community driven package for OpenAI public API
usda-fdc-data. Repository for cleaning, processing, and wrangling USDA FoodData Central datasets.
foodbert. FoodBERT: Food Extraction with DistilBERT
qlora. QLoRA: Efficient Finetuning of Quantized LLMs
ng-video-lecture. Python
