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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:Cypress io Cypress Component Test Execution
- Workflow:OpenGVLab InternVL LoRA Finetuning
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:CARLA simulator Carla Traffic Generation
- Workflow:Microsoft Playwright API testing
- Workflow:Huggingface Open r1 SFT Distillation
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Apache Hudi Docker Demo Setup
Principles
- Principle:Protectai Llm guard Refusal Detection
- Principle:Romsto Speculative Decoding Logits Processing
- Principle:Unslothai Unsloth Hub Upload
- Principle:Sgl project Sglang Schema Constrained Decoding
- Principle:Spcl Graph of thoughts Local LLM Inference
- Principle:Zai org CogVideo Frame Interpolation
- Principle:Neuml Txtai Numeric Vector Search
- Principle:Snorkel team Snorkel Multitask Model Training
- Principle:Haosulab ManiSkill GPU Parallelized Rollout
- Principle:Langchain ai Langchain LLM Caching
Implementations
- Implementation:ClickHouse ClickHouse Musl Atomic
- Implementation:Spotify Luigi SparkSubmitTask PySparkTask
- Implementation:Open compass VLMEvalKit WeMM
- Implementation:Iterative Dvc Push Fetch
- Implementation:DataTalksClub Data engineering zoomcamp Java JsonProducer
- Implementation:NVIDIA NeMo Aligner Reward Model Class Registry
- Implementation:Online ml River Anomaly HalfSpaceTrees
- Implementation:Avdvg InjectGuard CSVLoader Load
- Implementation:Confident ai Deepeval Deepeval Login CLI
- Implementation:Pytorch Serve Model Manifest
Heuristics
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Neuml Txtai Model Quantization Defaults
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:Alibaba MNN LLM Runtime Tuning
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
Environments
- Environment:Ucbepic Docetl Docker Deployment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:Sgl project Sglang Runtime
- Environment:Duckdb Duckdb Extension Distribution Env
- Environment:Vllm project Vllm ROCm
- Environment:Protectai Modelscan H5py Optional
- Environment:Googleapis Python genai Vertex AI Service Account