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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:Onnx Onnx Model Creation
- Workflow:Open compass VLMEvalKit Adding Custom Benchmark
- Workflow:DataExpert io Data engineer handbook PySpark Iceberg Job Execution
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:Apache Beam Portable Pipeline Submission
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:AUTOMATIC1111 Stable diffusion webui Hypernetwork training
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Openclaw Openclaw Docker Deployment
Principles
- Principle:Ggml org Llama cpp Common Infrastructure
- Principle:Mit han lab Llm awq W8A8 Quantized Linear
- Principle:Huggingface Datatrove PII Removal
- Principle:Volcengine Verl Policy Loss Optimization
- Principle:Apache Kafka Trogdor Invocation
- Principle:MaterializeInc Materialize Source and Model Definition
- Principle:Deepseek ai Janus Image Post Processing
- Principle:Kserve Kserve LLM Worker Configuration
- Principle:Langgenius Dify App Type Selection
- Principle:Intel Ipex llm DPO Model Export
Implementations
- Implementation:Online ml River Drift KSWIN
- Implementation:Interpretml Interpret BinSumsBoosting
- Implementation:Microsoft Agent framework WorkflowContext Request Info
- Implementation:Datajuicer Data juicer DetectCharacterAttributesMapper
- Implementation:Online ml River Preprocessing FeatureHasher
- Implementation:Cohere ai Cohere python RequestOptions
- Implementation:Helicone Helicone Mitmproxy Linux
- Implementation:NVIDIA DALI TF Image Processing
- Implementation:Tensorflow Tfjs CenterCrop Layer
- Implementation:EvolvingLMMs Lab Lmms eval MMSearch Plus Utils
Heuristics
- Heuristic:FMInference FlexLLMGen OOM Memory Management
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Microsoft Autogen Name Uniqueness Constraints
Environments
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Kserve Kserve Python Runtime
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Arize ai Phoenix Python Runtime
- Environment:Vllm project Vllm Python
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Openai Evals OpenAI API Configuration
- Environment:Google deepmind Mujoco C Build Environment