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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:OpenGVLab InternVL Preference Optimization
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Alibaba ROLL RLVR Training Pipeline
- Workflow:Apache Hudi Flink Batch Incremental Read
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Infiniflow Ragflow Agent Workflow Building
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
Principles
- Principle:Tencent Ncnn Neural Network Inference
- Principle:Huggingface Diffusers Video Memory Management
- Principle:Sgl project Sglang Generation Program Execution
- Principle:Teamcapybara Capybara Server And Options Configuration
- Principle:DataExpert io Data engineer handbook Tumbling Window
- Principle:Iterative Dvc Execution Order Planning
- Principle:Sktime Pytorch forecasting MLP Decoder
- Principle:Ggml org Llama cpp Embedding Normalization
- Principle:Lm sys FastChat MT Bench Answer Generation
- Principle:ClickHouse ClickHouse Stateless Test Execution
Implementations
- Implementation:Tensorflow Tfjs CPU TopK Impl
- Implementation:Elevenlabs Elevenlabs python RagConfig
- Implementation:EvolvingLMMs Lab Lmms eval Consolidate Results
- Implementation:Sail sg LongSpec Hydra YAML Composition
- Implementation:Langgenius Dify Docker Compose Up
- Implementation:Microsoft Onnxruntime Generate Artifacts
- Implementation:ClickHouse ClickHouse JSON Parser
- Implementation:Avhz RustQuant Distribution Trait
- Implementation:Iterative Dvc Repo Ls Url
- Implementation:OWASP Www project top 10 for large language model applications Markdown To PDF Convert
Heuristics
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:OWASP Www project top 10 for large language model applications Sandbox Containerization Pattern
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:BerriAI Litellm Retry Backoff Strategy
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
Environments
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Alibaba MNN CPU Build Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Langfuse Langfuse PostgreSQL 17