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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:Sdv dev SDV Constrained synthesis
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Tensorflow Tfjs Sequential Model Training
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
Principles
- Principle:OpenRLHF OpenRLHF Rule Based Reward Functions
- Principle:Tensorflow Serving Servable Identity And State
- Principle:Alibaba ROLL RLVR Configuration
- Principle:Neuml Txtai Document Preparation
- Principle:Huggingface Diffusers ControlNet Residual Injection
- Principle:VainF Torch Pruning Growing Regularization
- Principle:Microsoft Onnxruntime Session Options Configuration
- Principle:Scikit learn Scikit learn Random Forest Classification
- Principle:Anthropics Anthropic sdk python Tool Execution
- Principle:OpenBMB UltraFeedback Prompt Formatting
Implementations
- Implementation:CARLA simulator Carla Python Control Bindings
- Implementation:Duckdb Duckdb Add Library Unity
- Implementation:Infiniflow Ragflow TaskService Update Progress
- Implementation:Explodinggradients Ragas Experiment Comparison Pattern
- Implementation:Apache Paimon Lint Python Script
- Implementation:Huggingface Datatrove MimeTypeFilter
- Implementation:Open compass VLMEvalKit Dynamath
- Implementation:ArroyoSystems Arroyo Core Types
- Implementation:Ggml org Llama cpp CLIP Impl
- Implementation:Langchain ai Langgraph Internal Config
Heuristics
- Heuristic:Ollama Ollama Multimodal Parallel Restriction
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
- Heuristic:Helicone Helicone Tiered Pricing Threshold Matching
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
Environments
- Environment:Wandb Weave Trace Server Infrastructure
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Ggml org Llama cpp CUDA GPU Environment