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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:Predibase Lorax Single LoRA Inference
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
Principles
- Principle:Onnx Onnx Opset Version Mapping
- Principle:Eventual Inc Daft Class UDF
- Principle:Langfuse Langfuse Ingestion Queue Dispatch
- Principle:Unstructured IO Unstructured Memory Profiling
- Principle:Nautechsystems Nautilus trader Strategy Registration
- Principle:Huggingface Diffusers DreamBooth Dataset
- Principle:Sktime Pytorch forecasting Point Loss Functions
- Principle:Langgenius Dify Workflow Variable Management
- Principle:NVIDIA NeMo Curator Image Deduplication
- Principle:Kornia Kornia Edge Detection
Implementations
- Implementation:Scikit learn Scikit learn RocCurveDisplay
- Implementation:Microsoft DeepSpeedExamples Create Prompt Dataset
- Implementation:Google deepmind Dm control Padded Room
- Implementation:Interpretml Interpret ClassHistogram And Marginal
- Implementation:Datajuicer Data juicer AudioFFmpegWrappedMapper
- Implementation:Hpcaitech ColossalAI GSMDataset
- Implementation:Microsoft Onnxruntime TensorInfo
- Implementation:CARLA simulator Carla OdrSpiral
- Implementation:Apache Paimon DataTypeFamily
- Implementation:Fastai Fastbook Pandas Read Csv
Heuristics
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Risingwavelabs Risingwave Stream Chunk Sizing
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
- Heuristic:Huggingface Alignment handbook LoRA Rank Selection
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Zai org CogVideo Memory Optimization Strategies
Environments
- Environment:Vllm project Vllm CUDA Runtime
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Cypress io Cypress Browser Requirements
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Vllm project Vllm ROCm