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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:ARISE Initiative Robosuite Environment Setup And Simulation
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Huggingface Alignment handbook SFT DPO Alignment Pipeline
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:Triton inference server Server Ensemble Model Pipeline
Principles
- Principle:Isaac sim IsaacGymEnvs Hierarchical Reinforcement Learning
- Principle:Huggingface Datatrove Context Window Shuffling
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:Wandb Weave Call Execution
- Principle:Predibase Lorax Multi Process Server Launch
- Principle:Treeverse LakeFS Repository Creation
- Principle:Datahub project Datahub Lineage Verification
- Principle:Dagster io Dagster Dbt Asset Translation
- Principle:Marker Inc Korea AutoRAG Quality Filtering And Export
- Principle:Pyro ppl Pyro Minimal PPL
Implementations
- Implementation:Mlflow Mlflow Prompt Version Entity
- Implementation:Datahub project Datahub MergeIntoCommandInputDatasetBuilder
- Implementation:Online ml River Facto FFM
- Implementation:InternLM Lmdeploy APIClient
- Implementation:Guardrails ai Guardrails Validator Chunking Function
- Implementation:Bitsandbytes foundation Bitsandbytes Backend Quantization Tables
- Implementation:BerriAI Litellm Logging Worker
- Implementation:Facebookresearch Habitat lab VER InferenceWorker
- Implementation:Microsoft Playwright Utils Bundle Package Lock
- Implementation:Datahub project Datahub ProtobufExtensionFieldVisitor
Heuristics
- Heuristic:Apache Dolphinscheduler Failover Marker TTL
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Zai org CogVideo Decord Import Order Bug
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
Environments
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Openai Openai python Voice Helpers
- Environment:Togethercomputer Together python Python SDK Runtime
- Environment:Apache Flink Node Build Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Mage ai Mage ai Python 3 9 Runtime