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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 |
Explore Pages
Workflows
- Workflow:Openclaw Openclaw Channel Connection
- Workflow:Groq Groq python Chat Completion
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
Principles
- Principle:OpenRLHF OpenRLHF DeepSpeed Distributed Setup
- Principle:Datahub project Datahub V2 Client Setup
- Principle:Isaac sim IsaacGymEnvs Checkpoint Location
- Principle:PrefectHQ Prefect DataFrame Transformation
- Principle:Arize ai Phoenix Batch Span Annotation
- Principle:Risingwavelabs Risingwave Composable Development Environment
- Principle:Intel Ipex llm Training With HF Trainer LoRA
- Principle:Run llama Llama index Agent Configuration
- Principle:Ggml org Llama cpp Legacy Model Conversion
- Principle:Microsoft Semantic kernel Single Agent Invocation
Implementations
- Implementation:NVIDIA DALI Plugin Manager Load Library
- Implementation:Datajuicer Data juicer VideoCaptioningFromAudioMapper
- Implementation:SeldonIO Seldon core Seldon Model Load For Monitoring
- Implementation:Ollama Ollama Mtmd API
- Implementation:Microsoft Semantic kernel CloudEvents App
- Implementation:Mlc ai Mlc llm Eagle Batch Draft
- Implementation:Pyro ppl Pyro ScaleMessenger
- Implementation:Microsoft Onnxruntime Numpy Output Extraction
- Implementation:Explodinggradients Ragas Document Loader Interface
- Implementation:Guardrails ai Guardrails Guard Use Custom Validator
Heuristics
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Farama Foundation Gymnasium Render Mode Selection Guide
- Heuristic:Openai CLIP FP16 FP32 Dtype Handling
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Norrrrrrr lyn WAInjectBench Zero Vector Fallback Failed Embeddings
- Heuristic:Apache Druid Auto Granularity Selection
Environments
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Alibaba ROLL CUDA GPU Environment
- Environment:Apache Spark Python Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Huggingface Trl vLLM Generation Environment