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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:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Unstructured IO Unstructured Performance Profiling
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Guardrails ai Guardrails Structured Data Generation
Principles
- Principle:Heibaiying BigData Notes Storm Topology Wiring
- Principle:Guardrails ai Guardrails Guard Validator Composition
- Principle:DataTalksClub Data engineering zoomcamp Streaming Data Model
- Principle:Unslothai Unsloth Ollama Deployment
- Principle:Ollama Ollama GGUF Assembly
- Principle:Unstructured IO Unstructured Benchmark Execution
- Principle:Microsoft BIPIA Few Shot Example Construction
- Principle:Kornia Kornia Local Feature Detection
- Principle:DataExpert io Data engineer handbook DataFrame Write To Table
- Principle:FlowiseAI Flowise Document Store Creation
Implementations
- Implementation:Intel Ipex llm GaLore Finetuning
- Implementation:FlagOpen FlagEmbedding BGE VL Eval FashionIQ
- Implementation:Hpcaitech ColossalAI Prepare Dataset SFT
- Implementation:Speechbrain Speechbrain Prepare CommonLanguage LangId
- Implementation:LLMBook zh LLMBook zh github io LlamaRewardModel
- Implementation:NVIDIA NeMo Curator AudioBatch
- Implementation:Ucbepic Docetl ServerModels
- Implementation:Lucidrains X transformers DPO Init
- Implementation:Open compass VLMEvalKit Infer Data Job Video
- Implementation:Microsoft Autogen ChatAgentContainer
Heuristics
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:ArroyoSystems Arroyo Parallelism Configuration
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Mlfoundations Open flamingo RICES Feature Caching
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
Environments
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Langgenius Dify Python Backend Environment
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Kserve Kserve GPU Accelerator
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Datahub project Datahub Spark Lineage Environment