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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:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:Apache Airflow Kubernetes Deployment via Helm
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:Tensorflow Tfjs Sequential Model Training
- Workflow:Ucbepic Docetl Long Document Chunking
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Configuration Management
- Principle:Scikit learn Scikit learn Naive Bayes Classification
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:Open compass VLMEvalKit Generate Inner Interface
- Principle:Mlflow Mlflow Trace Search and Analysis
- Principle:Wandb Weave Result Analysis
- Principle:Evidentlyai Evidently Snapshot Export
- Principle:Duckdb Duckdb Serialization Code Generation
- Principle:LaurentMazare Tch rs ImageNet Preprocessing
- Principle:Openai Openai python Realtime Event Processing
Implementations
- Implementation:Axolotl ai cloud Axolotl Save Trained Model
- Implementation:Guardrails ai Guardrails Guard Use Streaming
- Implementation:Microsoft Onnxruntime OnnxSparseTensor JNI
- Implementation:ArroyoSystems Arroyo Datafusion Types
- Implementation:MaterializeInc Materialize Workload Replay Framework
- Implementation:Huggingface Datasets Stratify Utils
- Implementation:Onnx Onnx Convert Model To External Data
- Implementation:Risingwavelabs Risingwave SqlServerDialect
- Implementation:Helicone Helicone HeliconeProducer SendMessage
- Implementation:Truera Trulens Record Viewer Utils
Heuristics
- Heuristic:Nautechsystems Nautilus trader Streaming Mode For Large Backtests
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:OpenHands OpenHands Redis Distributed Locking
- Heuristic:Snorkel team Snorkel Minimum Three LFs
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Sail sg LongSpec Inference Environment
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Apache Druid Druid Cluster Api
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Apache Druid Druid Operator Kubernetes
- Environment:Snorkel team Snorkel PyTorch
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Huggingface Datasets Image Dependencies
- Environment:Ggml org Llama cpp Metal GPU Environment