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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:LLMBook zh LLMBook zh github io Inference and Quantization
- Workflow:Huggingface Trl Direct Preference Optimization
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:OpenGVLab InternVL Benchmark Evaluation
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Protectai Modelscan CLI Model Scanning
Principles
- Principle:Kornia Kornia Dense Feature Matching
- Principle:Run llama Llama index Pipeline State Persistence
- Principle:Mbzuai oryx Awesome LLM Post training Collection Parameter Configuration
- Principle:Dagster io Dagster Documentation Site Navigation
- Principle:Ggml org Llama cpp Partial JSON Healing
- Principle:DevExpress Testcafe Native Automation Request Interception
- Principle:Nautechsystems Nautilus trader Portfolio Analysis
- Principle:Lucidrains X transformers Bidirectional Encoder Configuration
- Principle:Guardrails ai Guardrails AsyncExecution
- Principle:Huggingface Diffusers Scheduler Selection
Implementations
- Implementation:Neuml Txtai Embeddings Index
- Implementation:Huggingface Datasets SqlDatasetReader
- Implementation:Elevenlabs Elevenlabs python ForcedAlignmentClient
- Implementation:Gretelai Gretel synthetics Upsample Df
- Implementation:Recommenders team Recommenders PySARPlus Cpp
- Implementation:Snorkel team Snorkel SliceAwareClassifier Score Slices
- Implementation:Pyro ppl Pyro HorovodOptimizer
- Implementation:Ollama Ollama Llama Core
- Implementation:AUTOMATIC1111 Stable diffusion webui Aspect Ratio Overlay
- Implementation:Online ml River Linear Model Perceptron
Heuristics
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:Apache Spark Build Fallback Strategies
Environments
- Environment:Langgenius Dify Python Backend Environment
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Shiyu coder Kronos PyTorch CUDA Environment