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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:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Dagster io Dagster DSPy Optimization
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:Apache Druid SQL Query Execution
Principles
- Principle:Trailofbits Fickling Pickle Bytecode Parsing
- Principle:CrewAIInc CrewAI Managed Execution
- Principle:Huggingface Datasets Framework Tensor Conversion
- Principle:Trailofbits Fickling Hook Deactivation
- Principle:ARISE Initiative Robosuite Observable System
- Principle:Pyro ppl Pyro Statistical Diagnostics
- Principle:Volcengine Verl Multi Turn Data Preparation
- Principle:Explodinggradients Ragas Legacy Evaluation Pipeline
- Principle:Junyanz Pytorch CycleGAN and pix2pix Pretrained Model Download
- Principle:Evidentlyai Evidently Classification Quality Evaluation
Implementations
- Implementation:CARLA simulator Carla BufferView
- Implementation:Openai Openai node Logger
- Implementation:Langchain ai Langchain VectorStore As Retriever
- Implementation:Online ml River Drift DriftRetrainingClassifier
- Implementation:Pyro ppl Pyro Pyro Param
- Implementation:Mlc ai Mlc llm KV Cache
- Implementation:SeleniumHQ Selenium Zip
- Implementation:Promptfoo Promptfoo Database Migration
- Implementation:ChenghaoMou Text dedup Config Loading
- Implementation:Neuml Txtai LateEncoder
Heuristics
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Groq Groq python Streaming Usage Stats
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Google deepmind Dm control Warning Deprecated Legacy Base Walker
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Microsoft DeepSpeedExamples RLHF Hyperparameter Guide
- Heuristic:CARLA simulator Carla Synchronous Mode Fixed Delta
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
Environments
- Environment:Triton inference server Server Docker Container Build
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Datahub project Datahub Frontend Build
- Environment:Bentoml BentoML Python Runtime
- Environment:Kserve Kserve Python Runtime
- Environment:Kubeflow Pipelines Python SDK