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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:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Sdv dev SDV Constrained synthesis
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Run llama Llama index RAG Query Pipeline
Principles
- Principle:Openclaw Openclaw Session Resolution
- Principle:Pola rs Polars Streaming Plan Profiling
- Principle:Huggingface Diffusers Checkpoint Format Identification
- Principle:OpenRLHF OpenRLHF DeepSpeed Distributed Setup
- Principle:Scikit learn contrib Imbalanced learn Under Sampling Base Abstraction
- Principle:Intel Ipex llm LoRA Adapter Injection QLoRA
- Principle:Apache Druid Schema Definition
- Principle:Google deepmind Mujoco State Management
- Principle:Langgenius Dify Theming
- Principle:Huggingface Datasets DatasetDict Hub Upload
Implementations
- Implementation:Online ml River Stats Entropy
- Implementation:Alibaba MNN LLM Demo CLI
- Implementation:Mage ai Mage ai PostgreSQL Decoders
- Implementation:Triton inference server Server Trtllm Build
- Implementation:Apache Flink SingleThreadFetcherManager
- Implementation:Intel Ipex llm AutoModelForCausalLM From Pretrained bf16
- Implementation:Googleapis Python genai Interactions Transform
- Implementation:Googleapis Python genai Interactions Models
- Implementation:Google deepmind Dm control Viewer Launch
- Implementation:CARLA simulator Carla RPC Server
Heuristics
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Zai org CogVideo Decord Import Order Bug
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:LaurentMazare Tch rs Safetensors Format Preference
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Datajuicer Data juicer Checkpoint Resumption Strategy
Environments
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Huggingface Trl Python Core Dependencies
- Environment:Huggingface Transformers PyTorch 24 CUDA
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Vllm project Vllm Python
- Environment:Microsoft Onnxruntime Windows Build Environment