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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:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Apache Spark Building and Testing
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Kserve Kserve LLM Inference Serving
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Ray project Ray Cross Language Invocation
- Workflow:Open compass VLMEvalKit API Model Evaluation
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
Principles
- Principle:SqueezeAILab ETS ILP Node Selection
- Principle:Alibaba ROLL Trajectory Collection
- Principle:Treeverse LakeFS Retention Rule Configuration
- Principle:Bentoml BentoML Composed Pipeline Testing
- Principle:Isaac sim IsaacGymEnvs Task Testing Iteration
- Principle:Huggingface Datasets Language Code Registry
- Principle:Fastai Fastbook Tensor Fundamentals
- Principle:Heibaiying BigData Notes HBase Table Creation
- Principle:Wandb Weave Auto Patching
- Principle:FMInference FlexLLMGen Model Replacement Policy
Implementations
- Implementation:Langgenius Dify Check I18n
- Implementation:Sgl project Sglang SM100 MLA TMA WarpSpecialized
- Implementation:Haosulab ManiSkill ShaderConfig
- Implementation:Triton inference server Server RestrictedFeatures
- Implementation:Haosulab ManiSkill RollBall
- Implementation:Puppeteer Puppeteer EventEmitter
- Implementation:MaterializeInc Materialize ResolvedImage Build
- Implementation:Mage ai Mage ai Google Analytics Source
- Implementation:Infiniflow Ragflow Embedding Function
- Implementation:Wandb Weave Dataset
Heuristics
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
- Heuristic:Heibaiying BigData Notes HBase Connection Thread Safety Tip
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:ThreeSR Awesome Inference Time Scaling Empty Venue Default Tip
Environments
- Environment:Snorkel team Snorkel SpaCy NLP
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:HKUDS AI Trader MCP Services
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Apache Beam Java Build Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Apache Spark Release Build Environment