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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:Huggingface Datatrove Dataset Tokenization
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:CARLA simulator Carla Building from Source
- Workflow:Run llama Llama index RAG Query Pipeline
- Workflow:Ray project Ray Actor Lifecycle Management
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Huggingface Datatrove Common Crawl Processing
Principles
- Principle:Apache Shardingsphere Runtime Rule Object Initialization
- Principle:EvolvingLMMs Lab Lmms eval Results Retrieval
- Principle:Unstructured IO Unstructured Chunk Size Configuration
- Principle:Pyro ppl Pyro Mean Field Variational Inference
- Principle:Mlc ai Web llm Multi Model Routing
- Principle:Pytorch Serve Streaming Inference
- Principle:Lance format Lance Text Data Preparation
- Principle:AUTOMATIC1111 Stable diffusion webui Extension Callback System
- Principle:Recommenders team Recommenders Spark Session Management
- Principle:Treeverse LakeFS S3 Path Mapping
Implementations
- Implementation:NVIDIA NeMo Curator RayActorPoolExecutor
- Implementation:Googleapis Python genai AsyncLiveMusic Connect
- Implementation:Scikit learn Scikit learn NMF
- Implementation:EvolvingLMMs Lab Lmms eval MMUPD Utils
- Implementation:Turboderp org Exllamav2 Model Diff
- Implementation:Lance format Lance Text Column Schema
- Implementation:ArroyoSystems Arroyo Connection Tester
- Implementation:Recommenders team Recommenders Criteo Dataset
- Implementation:Fede1024 Rust rdkafka Metadata Example
- Implementation:Datajuicer Data juicer Fuse Operators
Heuristics
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Evidentlyai Evidently Column Type Inference Rules
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
Environments
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Apache Druid Integration Test Docker
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Langgenius Dify Node Frontend Environment