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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:Run llama Llama index Data Ingestion Pipeline
- Workflow:Ggml org Llama cpp Embedding Extraction
- Workflow:Langfuse Langfuse Dataset experiment pipeline
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
- Workflow:Danijar Dreamerv3 Evaluation Only
- Workflow:Run llama Llama index ReAct Agent
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Ggml org Llama cpp Model Quantization
Principles
- Principle:Tensorflow Serving Simple Server Bootstrap
- Principle:Iterative Dvc Dataset Resolution
- Principle:AUTOMATIC1111 Stable diffusion webui Extension Architecture
- Principle:PrefectHQ Prefect HTML Parsing
- Principle:Huggingface Diffusers Conditioning Image Preparation
- Principle:Nightwatchjs Nightwatch Step Definition Implementation
- Principle:Zai org CogVideo Text to Video Generation
- Principle:Online ml River Streaming Signal Processing
- Principle:ArroyoSystems Arroyo Job Lifecycle
- Principle:Openai Evals Environment Setup
Implementations
- Implementation:Vllm project Vllm LLM Init Multimodal
- Implementation:Pyro ppl Pyro SoftLaplace
- Implementation:DataTalksClub Data engineering zoomcamp Ride Data Model
- Implementation:OpenHands OpenHands OrgService Validate Name Uniqueness
- Implementation:Sktime Pytorch forecasting KANLayer
- Implementation:Microsoft Onnxruntime TrainingModule
- Implementation:LLMBook zh LLMBook zh github io AutoModelForCausalLM From Pretrained Pretraining
- Implementation:Treeverse LakeFS Java SDK Model HookRunList
- Implementation:FlagOpen FlagEmbedding AbsReranker Compute Score
- Implementation:Predibase Lorax Flash Llama Modeling
Heuristics
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Huggingface Alignment handbook Liger Kernel Memory
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:TobikoData Sqlmesh Fork Worker Tuning
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
Environments
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Huggingface Datasets Python PyArrow Core
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Vllm project Vllm CPU Runtime
- Environment:Neuml Txtai API Server Configuration