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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Helicone Helicone Local Development Setup
- Workflow:FlowiseAI Flowise Document Store Ingestion
- Workflow:Treeverse LakeFS Garbage Collection
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestEngine
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
Principles
- Principle:Haifengl Smile Column Selection and Filtering
- Principle:Datajuicer Data juicer Statistics Computation
- Principle:Apache Shardingsphere YAML Deserialization
- Principle:Datahub project Datahub Batch Ingestion Execution
- Principle:Anthropics Anthropic sdk python Pagination And Iteration
- Principle:AUTOMATIC1111 Stable diffusion webui Sampling Architecture
- Principle:Webdriverio Webdriverio Global API
- Principle:Ray project Ray Docker Image Building
- Principle:HKUDS AI Trader Frontend Cache Management
- Principle:Online ml River Feature Standardization
Implementations
- Implementation:Infiniflow Ragflow Localization System
- Implementation:LLMBook zh LLMBook zh github io LlamaModel
- Implementation:InternLM Lmdeploy Gemm Sm90Utils
- Implementation:EvolvingLMMs Lab Lmms eval Evaluate Endpoint
- Implementation:Infiniflow Ragflow DatasetTable Component
- Implementation:OpenGVLab InternVL Multimodal Utilities
- Implementation:Open compass VLMEvalKit VGRPBench Futoshiki
- Implementation:Helicone Helicone SignIn Page
- Implementation:Haosulab ManiSkill BC Diffusion Training
- Implementation:Deepspeedai DeepSpeed Transformer CUDA
Heuristics
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
- Heuristic:Spcl Graph of thoughts Backoff Retry On API Errors
- Heuristic:PrefectHQ Prefect SQLite Performance Tuning
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
Environments
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:FlowiseAI Flowise Queue Mode Environment
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Mit han lab Llm awq VILA Multimodal Environment