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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:Apache Paimon Table Read Write
- Workflow:Turboderp org Exllamav2 Text Generation
- Workflow:Cleanlab Cleanlab Datalab Dataset Audit
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Promptfoo Promptfoo Red Team Security Scan
- Workflow:Online ml River Streaming Anomaly Detection
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Apache Flink Async Sink Lifecycle
Principles
- Principle:Nightwatchjs Nightwatch BDD Style Expect Assertions
- Principle:Openai CLIP Text Tokenization
- Principle:Google deepmind Dm control Task Definition
- Principle:TobikoData Sqlmesh Environment Listing And Inspection
- Principle:Huggingface Datasets Hub Metadata Configs
- Principle:ClickHouse ClickHouse IEEE754 Float Decomposition
- Principle:HKUDS AI Trader Frontend Configuration Loading
- Principle:AUTOMATIC1111 Stable diffusion webui Network weight restoration
- Principle:DataTalksClub Data engineering zoomcamp Merge Upsert
- Principle:Microsoft LoRA NLG Environment Setup
Implementations
- Implementation:Microsoft DeepSpeedExamples Token Based LR Annealing
- Implementation:Ggml org Llama cpp Ngram Cache Header
- Implementation:CarperAI Trlx Reward Function Interface
- Implementation:Heibaiying BigData Notes WordCountDataUtils GenerateDataToHDFS
- Implementation:CarperAI Trlx NeMo SFT Trainer
- Implementation:FlowiseAI Flowise StarterPrompts
- Implementation:Langgenius Dify Workflow SSE Stream
- Implementation:CARLA simulator Carla Disable UE4 Macros
- Implementation:LMCache LMCache Base Transfer Channel
- Implementation:Ray project Ray Sphinx Callouts Extension
Heuristics
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Huggingface Optimum Dummy Input Shape Defaults
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Tensorflow Tfjs WebGL Shader Warmup
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:Duckdb Duckdb Version Sync Across Files
Environments
- Environment:Kserve Kserve GPU Accelerator
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Sgl project Sglang Prometheus
- Environment:Interpretml Interpret Visualization Environment
- Environment:Vllm project Vllm AArch64 CPU
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Intel Ipex llm NPU Environment
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:BerriAI Litellm Observability Stack