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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:Huggingface Alignment handbook ORPO Single Stage Alignment
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Google deepmind Mujoco Model compilation and conversion
- Workflow:Promptfoo Promptfoo Red Team Security Scan
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Job Management
- Principle:Kserve Kserve RDMA Network Provisioning
- Principle:InternLM Lmdeploy Batch Text Generation
- Principle:Lucidrains X transformers Autoregressive Data Preparation
- Principle:Nightwatchjs Nightwatch Cucumber Test Execution
- Principle:Langchain ai Langchain Embedding Model Initialization
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:Mlflow Mlflow Model Loading
- Principle:Mlfoundations Open flamingo MMC4 Format Conversion
- Principle:Hpcaitech ColossalAI Document Loading
Implementations
- Implementation:Apache Paimon SpecialFields
- Implementation:Datahub project Datahub VersionAwarePatchTransformer
- Implementation:Microsoft Onnxruntime CPU ClipGradNorm
- Implementation:Spotify Luigi HadoopJobRunner
- Implementation:Avhz RustQuant Poisson Distribution
- Implementation:Deepspeedai DeepSpeed Evoformer MMA Pipelined
- Implementation:Facebookresearch Habitat lab Interactive Play
- Implementation:Speechbrain Speechbrain Train IEMOCAP
- Implementation:Hpcaitech ColossalAI Trainer Callback Base
- Implementation:Ggml org Llama cpp Jinja Parser
Heuristics
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:Lucidrains X transformers Flash Attention Configuration
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:ChenghaoMou Text dedup Suffix Array Merge Strategy
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
Environments
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Apache Flink Node Build Environment
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Vllm project Vllm Distributed