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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:Google deepmind Mujoco Interactive simulation
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Huggingface Transformers Model Benchmarking
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestEngine
- Workflow:Getgauge Taiko Gauge Integration Testing
Principles
- Principle:Ggml org Llama cpp HTTP Utilities
- Principle:Kubeflow Kubeflow Pull Request Submission
- Principle:Getgauge Taiko Radio Button Selection
- Principle:Bitsandbytes foundation Bitsandbytes Matmul Performance Estimation
- Principle:Apache Flink Hybrid Source Processing
- Principle:Microsoft BIPIA Dataset Preparation
- Principle:Langchain ai Langgraph UI Component Management
- Principle:CrewAIInc CrewAI Project Scaffolding
- Principle:Unslothai Unsloth MoE Kernel Autotuning
- Principle:Apache Shardingsphere Data Change Event Emission
Implementations
- Implementation:FlowiseAI Flowise InsertIntoVectorStore
- Implementation:Axolotl ai cloud Axolotl MultipackBatchSampler
- Implementation:Lance format Lance Java CompactionTask
- Implementation:Microsoft DeepSpeedExamples BingBert AsyncWorker
- Implementation:Vibrantlabsai Ragas MultiModalFaithfulness
- Implementation:Iterative Dvc Utils Collections
- Implementation:Mit han lab Llm awq NVILA LlavaArch
- Implementation:Evidentlyai Evidently Dashboard Panels
- Implementation:Run llama Llama index SQLTableNodeMapping
- Implementation:Online ml River Active Base
Heuristics
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:ArroyoSystems Arroyo Parallelism Configuration
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Spotify Luigi Marker Table Idempotency
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:Apache Beam Executor Shutdown Ordering
Environments
- Environment:Sail sg LongSpec Training Environment
- Environment:OpenGVLab InternVL DeepSpeed
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Sgl project Sglang CUDA GPU Runtime
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Huggingface Datatrove Python Runtime
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Nautechsystems Nautilus trader Databento API Credentials
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Apache Airflow Python Runtime Environment