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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:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Ray project Ray Cross Language Invocation
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
Principles
- Principle:Microsoft Semantic kernel Vector Similarity Search
- Principle:BerriAI Litellm Database Setup
- Principle:Getgauge Taiko Code Generation
- Principle:Google research Deduplicate text datasets Dataset Serialization HF
- Principle:Apache Druid Partitioning Configuration
- Principle:Avhz RustQuant Curve Interpolation
- Principle:Helicone Helicone Provider Key Management
- Principle:ARISE Initiative Robosuite Lighting Randomization
- Principle:Microsoft Semantic kernel AI Service Registration
- Principle:HKUDS AI Trader Frontend Cache Generation
Implementations
- Implementation:Microsoft DeepSpeedExamples HelloDeepSpeed Train Bert DS
- Implementation:Unslothai Unsloth Save Pretrained GGUF
- Implementation:Online ml River Stream Iter Libsvm
- Implementation:Ggml org Ggml Webgpu backend
- Implementation:Tensorflow Tfjs GraphModel Predict
- Implementation:Google deepmind Dm control Reference Pose Utils
- Implementation:Lance format Lance CommitHandler
- Implementation:Datajuicer Data juicer SentenceSplitMapper
- Implementation:Truera Trulens Compare Tab
- Implementation:FlagOpen FlagEmbedding MLVU Sub Scene Data
Heuristics
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
- Heuristic:Vespa engine Vespa Warning Deprecated Cloud API Constructors
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:Google deepmind Dm control Prop Settling Physics Tuning
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
Environments
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Avhz RustQuant Rust Stable
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Unslothai Unsloth Python Transformers
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Tencent Ncnn Build Environment
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Rapidsai Cuml CUDA GPU