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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:Allenai Open instruct Reward Model Training
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Onnx Onnx Model Creation
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:NVIDIA DALI Object Detection Training TensorFlow
- Workflow:ContextualAI HALOs Offline SFT Alignment Pipeline
- Workflow:LLMBook zh LLMBook zh github io Inference and Quantization
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
Principles
- Principle:Ollama Ollama HardwareDiscovery
- Principle:CrewAIInc CrewAI Training Execution
- Principle:Risingwavelabs Risingwave Iceberg Sink Integration
- Principle:Facebookresearch Audiocraft Audio File Writing
- Principle:Speechbrain Speechbrain Noisy Speech Data Preparation
- Principle:Ggml org Llama cpp AdapterSupport
- Principle:PrefectHQ Prefect Frontend Application Configuration
- Principle:Neuml Txtai Pipeline Definition
- Principle:Unstructured IO Unstructured Embedding Provider Interface
- Principle:Sgl project Sglang Structured Output Validation
Implementations
- Implementation:BerriAI Litellm Weights Biases Logger
- Implementation:Infiniflow Ragflow File Utils
- Implementation:Ggml org Llama cpp Vdot Benchmark
- Implementation:Openai Openai python Response MCP Call Failed
- Implementation:ClickHouse ClickHouse Install Script
- Implementation:Tensorflow Serving Mnist Training Example
- Implementation:Triton inference server Server GenEnsembleModelUtils
- Implementation:NVIDIA NeMo Aligner Process Anthropic HH Chat Prompt
- Implementation:Nightwatchjs Nightwatch Page Object Type Definitions
- Implementation:SeleniumHQ Selenium ClasspathExtension
Heuristics
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
- Heuristic:Zai org CogVideo DeepSpeed Checkpoint Conversion Tips
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:SeleniumHQ Selenium Warning Deprecated Proxy FTP Methods
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
Environments
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Lance format Lance Rust Toolchain
- Environment:Iterative Dvc Python Runtime
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:CARLA simulator Carla Python API Runtime