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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:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:LaurentMazare Tch rs JIT Model Inference
- Workflow:Trailofbits Fickling Pickle Safety Analysis
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Roboflow Rf detr Roboflow Deployment
- Workflow:Ray project Ray Actor Lifecycle Management
- Workflow:Lakeraai Pint benchmark Custom Dataset Benchmarking
Principles
- Principle:Ggml org Llama cpp Context Extension Testing
- Principle:AUTOMATIC1111 Stable diffusion webui Latent Diffusion Pipeline
- Principle:OpenHands OpenHands Base App Initialization
- Principle:Kubeflow Kubeflow Integration Testing
- Principle:Bigscience workshop Petals Inference Session Management
- Principle:NVIDIA DALI PyTorch Iterator
- Principle:Heibaiying BigData Notes Spark Data Loading
- Principle:Openai Openai python Training Data Preparation
- Principle:Langfuse Langfuse Eval Error Handling and Retry
- Principle:Princeton nlp Tree of thought llm Naive Baseline Sampling
Implementations
- Implementation:Nightwatchjs Nightwatch Nightwatch Configuration
- Implementation:Openai Openai python Shared Custom Tool Input Format
- Implementation:FlowiseAI Flowise RichInput
- Implementation:Lance format Lance Java Fragment
- Implementation:Interpretml Interpret LimeTabular
- Implementation:NVIDIA NeMo Aligner SupervisedTrainer Fit
- Implementation:Mit han lab Llm awq LlavaConfig
- Implementation:Treeverse LakeFS Java SDK Model IcebergPushRequest
- Implementation:Mlflow Mlflow Proto Plugin
- Implementation:Haifengl Smile KNN RNN Search API
Heuristics
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Huggingface Trl Distributed Device Map Override
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:NVIDIA DALI Batch Size Tuning
Environments
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:DevExpress Testcafe Docker Xvfb Container
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Apache Kafka JVM Runtime Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Ollama Ollama CGo Runtime
- Environment:Sgl project Sglang CUDA SM100
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Mlc ai Mlc llm TVM Runtime Environment