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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:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Langgenius Dify Knowledge Base Creation
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Puppeteer Puppeteer Browser Installation And Management
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:TA Lib Ta lib python Abstract API Usage
Principles
- Principle:Interpretml Interpret Bagged Gradient Boosting
- Principle:Scikit learn Scikit learn Anomaly Detection
- Principle:ChenghaoMou Text dedup Cluster Visualization
- Principle:Apache Spark Streaming Lifecycle Management
- Principle:ClickHouse ClickHouse CI Pipeline Execution
- Principle:Ollama Ollama Anthropic API Compatibility
- Principle:Volcengine Verl Multi Turn Rollout
- Principle:Online ml River CSV Stream Ingestion
- Principle:Mlflow Mlflow Artifact and Model Logging
- Principle:Apache Beam Result Commitment
Implementations
- Implementation:Open compass VLMEvalKit WorldSense Utils
- Implementation:Onnx Onnx ReferenceEvaluator Run
- Implementation:Ollama Ollama Imagegen Image
- Implementation:Alibaba MNN RapidJSON Stdint
- Implementation:Datahub project Datahub DataHubClientConfigV2
- Implementation:Iterative Dvc Repo Ls Url
- Implementation:Openai Openai agents python Runner Run
- Implementation:CarperAI Trlx PromptPipeline
- Implementation:Hiyouga LLaMA Factory WebUI Chatter
- Implementation:Huggingface Transformers Add Adapter
Heuristics
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Vibrantlabsai Ragas Concurrency And Retry Configuration
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
Environments
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Huggingface Open r1 CUDA Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Dotnet Machinelearning TorchSharp Environment