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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:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
- Workflow:Togethercomputer Together python Batch Inference
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:NVIDIA TransformerEngine Accelerate HF Llama With TE
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Mlfoundations Open flamingo Data Preparation
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Dagster io Dagster LLM Fine Tuning
Principles
- Principle:LaurentMazare Tch rs CIFAR Dataset Loading
- Principle:ContextualAI HALOs Metrics Summarization
- Principle:ThreeSR Awesome Inference Time Scaling Paper Entry Addition
- Principle:Huggingface Trl GRPO Model Saving
- Principle:Pytorch Serve Streaming Inference
- Principle:Mlc ai Web llm Streaming Response Processing
- Principle:Togethercomputer Together python Batch Job Monitoring
- Principle:Testtimescaling Testtimescaling github io Event Driven Step Progression
- Principle:Gretelai Gretel synthetics Tabular Data Transformation
- Principle:Gretelai Gretel synthetics Batch Model Training
Implementations
- Implementation:CrewAIInc CrewAI MCP Server Adapter
- Implementation:Pola rs Polars Polars Crate Cargo Config
- Implementation:Rapidsai Cuml Symreg Example
- Implementation:Googleapis Python genai Chat Get History
- Implementation:Open compass VLMEvalKit RBdashMMChat3 5 38B Wrapper
- Implementation:Helicone Helicone Credits Page
- Implementation:Apache Spark Start Workers
- Implementation:Mlc ai Mlc llm Conversation Protocol
- Implementation:Run llama Llama index SelectionOutputParser
- Implementation:Microsoft Playwright Dispatcher
Heuristics
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Isaac sim IsaacGymEnvs JIT Profiling Optimization
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Fastai Fastbook Progressive Resizing
- Heuristic:Langgenius Dify Celery Queue Separation
Environments
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:BerriAI Litellm Observability Stack
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:OpenGVLab InternVL DeepSpeed
- Environment:Openai Evals Python Runtime
- Environment:Unslothai Unsloth Llama Cpp