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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:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Lakeraai Pint benchmark Hugging Face Model Evaluation
- Workflow:Huggingface Open r1 SFT Distillation
- Workflow:Cypress io Cypress Binary Build and Release
- Workflow:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:MaterializeInc Materialize Integration Test Development
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
- Workflow:Pytorch Serve LLM Deployment vLLM
Principles
- Principle:Scikit learn contrib Imbalanced learn Index Balanced Accuracy
- Principle:Trailofbits Fickling Analysis Result Serialization
- Principle:Getgauge Taiko Type Safety
- Principle:Kserve Kserve Pool Tuning
- Principle:AUTOMATIC1111 Stable diffusion webui Merged model saving
- Principle:Zai org CogVideo T2V Pipeline Loading
- Principle:Axolotl ai cloud Axolotl Configuration Loading
- Principle:Pytorch Serve System Diagnostics
- Principle:Apache Spark Release Finalization
- Principle:Sdv dev SDV Column Pair Visualization
Implementations
- Implementation:Huggingface Datasets AbstractDatasetReader
- Implementation:Elevenlabs Elevenlabs python UnitTestToolCallParameterEval
- Implementation:Open compass VLMEvalKit HunyuanWrapper
- Implementation:Rapidsai Cuml MultiGPU Eigendecomposition
- Implementation:Arize ai Phoenix ToolResponseHandlingEvaluator
- Implementation:MarketSquare Robotframework browser Close Browser Run On Failure
- Implementation:Microsoft LoRA Run Summarization
- Implementation:AUTOMATIC1111 Stable diffusion webui Parse prompt attention
- Implementation:CARLA simulator Carla SensorRegistry
- Implementation:NVIDIA NeMo Aligner SPINTrainer Fit
Heuristics
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Vllm project Vllm Batch Size Hardware Scaling
Environments
- Environment:Snorkel team Snorkel PyTorch
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:Intel Ipex llm Linux XPU Environment
- Environment:Kserve Kserve Leader Worker Set
- Environment:Huggingface Trl PEFT LoRA Environment
- Environment:Sgl project Sglang CUDA
- Environment:Huggingface Diffusers Quantization Environment
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:Huggingface Transformers PyTorch 24 CUDA