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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:Apache Flink Stream File Compaction
- Workflow:Mistralai Client python Chat Completion
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Online ml River Streaming Anomaly Detection
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:BerriAI Litellm Router Load Balancing
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Haifengl Smile SQL Analytics Pipeline
Principles
- Principle:Ggml org Ggml GGUF Tensor Serialization
- Principle:Pyro ppl Pyro Custom Distribution Framework
- Principle:Googleapis Python genai History Management
- Principle:ClickHouse ClickHouse Server Process Management
- Principle:Lakeraai Pint benchmark Dataset Preparation
- Principle:Recommenders team Recommenders News Recommendation Evaluation
- Principle:Heibaiying BigData Notes HBase Connection Creation
- Principle:Online ml River Pipeline Composition
- Principle:Fede1024 Rust rdkafka Concurrent Worker Scaling
- Principle:ClickHouse ClickHouse DNS Resolution
Implementations
- Implementation:Elevenlabs Elevenlabs python WorkflowExpressionConditionModelInputExpression
- Implementation:Microsoft Playwright Client Artifact
- Implementation:NVIDIA DALI Ops Util Input Readers
- Implementation:Junyanz Pytorch CycleGAN and pix2pix ImagePool Query
- Implementation:Confident ai Deepeval Update Retriever Span
- Implementation:Google deepmind Dm control MJCF Schema
- Implementation:Microsoft Playwright Server Clock
- Implementation:CARLA simulator Carla ImageView
- Implementation:CARLA simulator Carla ObjectLabel
- Implementation:Mit han lab Llm awq Wikitext eval loop
Heuristics
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:PacktPublishing LLM Engineers Handbook DPO Training Configuration
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:Bitsandbytes foundation Bitsandbytes Blocksize Platform Defaults
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
Environments
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Apache Flink Node Build Environment
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:Kserve Kserve Gateway API
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing