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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:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Open compass VLMEvalKit Adding Custom Benchmark
- Workflow:Apache Flink Stream File Compaction
- Workflow:Huggingface Alignment handbook ORPO Single Stage Alignment
- Workflow:NVIDIA NeMo Aligner DPO Training
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Google research Deduplicate text datasets Cross dataset deduplication
- Workflow:Openclaw Openclaw Channel Connection
- Workflow:Farama Foundation Gymnasium RL Agent Training Loop
Principles
- Principle:Langchain ai Langgraph Docker Image Building
- Principle:Cleanlab Cleanlab Multilabel Quality Scoring
- Principle:Farama Foundation Gymnasium Vector Episode Statistics
- Principle:Ollama Ollama LLM Inference Pipeline
- Principle:Langgenius Dify DependencyManagement
- Principle:EvolvingLMMs Lab Lmms eval TUI Command Interface
- Principle:Cohere ai Cohere python Semantic Reranking
- Principle:Langchain ai Langgraph State Inspection
- Principle:Datahub project Datahub Action Pipeline Configuration
- Principle:Dotnet Machinelearning Gradient Boosted Tree Histogram
Implementations
- Implementation:Farama Foundation Gymnasium AcrobotEnv
- Implementation:Isaac sim IsaacGymEnvs VecTask Subclass Pattern
- Implementation:PeterL1n BackgroundMattingV2 Torch onnx export
- Implementation:Microsoft LoRA Check TF Ops
- Implementation:Kserve Kserve Initial InferenceService Deployment
- Implementation:Alibaba ROLL Agentic ActorWorker Loss Func
- Implementation:Togethercomputer Together python Evaluation Types
- Implementation:Open compass VLMEvalKit ChartMimic Chart Type Evaluator Prefix
- Implementation:Apache Shardingsphere ShadowRuleConfigurationChecker Check
- Implementation:Apache Airflow BaseHook Interface
Heuristics
- Heuristic:Openai CLIP CLIP Normalization Constants
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
- Heuristic:Trailofbits Fickling Injection Mode Selection
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:Apache Spark Serialization Optimization
Environments
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Openai Openai python Realtime WebSocket
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Kserve Kserve VLLM Runtime
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Huggingface Peft Python Core Dependencies
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Open compass VLMEvalKit API Keys And Credentials
- Environment:Openai Whisper FFmpeg