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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:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:Risingwavelabs Risingwave Iceberg Lakehouse Ingestion
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Helicone Helicone Local Development Setup
- Workflow:Apache Dolphinscheduler Datasource Connection Management
Principles
- Principle:Langchain ai Langgraph Graph Persistence Compilation
- Principle:Farama Foundation Gymnasium REINFORCE Policy Gradient
- Principle:Allenai Open instruct Tensor Caching
- Principle:CarperAI Trlx Reward Model Serving
- Principle:FMInference FlexLLMGen Optimized Inference Engine
- Principle:Datahub project Datahub Spark Listener Configuration
- Principle:Spotify Luigi Hadoop Configuration
- Principle:SeldonIO Seldon core Model Resource Definition
- Principle:MaterializeInc Materialize Docker Image Building
- Principle:Huggingface Alignment handbook Tokenizer Loading
Implementations
- Implementation:Ggml org Ggml Cpu sgemm
- Implementation:FlagOpen FlagEmbedding MLVU Needle Data
- Implementation:Mit han lab Llm awq CLIPAttentionFused
- Implementation:AUTOMATIC1111 Stable diffusion webui Aspect Ratio Overlay
- Implementation:Ggml org Ggml Sycl common
- Implementation:Hpcaitech ColossalAI Zero Bubble Consumer
- Implementation:Mage ai Mage ai Chargebee Item Model Events Schema
- Implementation:Vllm project Vllm Chat Template Application
- Implementation:Tensorflow Serving Model Service pb2 grpc
- Implementation:Tensorflow Tfjs CPU RaggedRange Impl
Heuristics
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Roboflow Rf detr EMA Best Checkpoint Strategy
- Heuristic:ArroyoSystems Arroyo Async UDF Concurrency
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Ray project Ray Autoscaling Delay Tuning
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
Environments
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Langgenius Dify Node Frontend Environment
- Environment:Apache Spark Release Build Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Mlc ai Mlc llm CUDA GPU Environment