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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:Hpcaitech ColossalAI Distributed GRPO Training
- Workflow:CARLA simulator Carla Simulation Setup and First Steps
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Treeverse LakeFS External Data Import
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Triton inference server Server Quickstart Model Deployment
- Workflow:FlowiseAI Flowise Chatbot Deployment
Principles
- Principle:Online ml River Multi Output Metrics
- Principle:Huggingface Datatrove Text Encoding Repair
- Principle:Vllm project Vllm Multimodal Prompt Formatting
- Principle:Langchain ai Langchain Input Preparation
- Principle:LLMBook zh LLMBook zh github io Symmetric Quantization
- Principle:Apache Kafka Squash Merge
- Principle:PacktPublishing LLM Engineers Handbook Quantized Model Loading
- Principle:Huggingface Datatrove Language Filtering
- Principle:Mistralai Client python Client Initialization
- Principle:Unstructured IO Unstructured Section Aware Chunking
Implementations
- Implementation:ArroyoSystems Arroyo Schema Editor
- Implementation:Kserve Kserve PD LLMInferenceService Spec
- Implementation:Pyro ppl Pyro TorchDistribution Wrappers
- Implementation:Junyanz Pytorch CycleGAN and pix2pix ImagePool Query
- Implementation:LaurentMazare Tch rs Conv Transpose
- Implementation:Recommenders team Recommenders GeoIMC Data
- Implementation:Tencent Ncnn MobileNetV3 SSDLite Example
- Implementation:Apache Paimon CatalogEnvironment
- Implementation:Ollama Ollama Template Index
- Implementation:Online ml River Stats Minimum
Heuristics
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Fastai Fastbook Batch Size Selection
- Heuristic:Open compass VLMEvalKit Judge Model Selection By Dataset
- Heuristic:Huggingface Diffusers LoRA Safe Fusing
Environments
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Intel Ipex llm Portable Environment