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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:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Groq Groq python Text Embedding
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:Google deepmind Mujoco Simulation benchmarking
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
Principles
- Principle:Datahub project Datahub Entity Retrieval
- Principle:Haifengl Smile Inference Server Configuration
- Principle:Huggingface Datasets Feature Type Definition
- Principle:Ggml org Llama cpp Template Capability Detection
- Principle:Confident ai Deepeval Function Tracing
- Principle:Bitsandbytes foundation Bitsandbytes SwitchBack Quantized Linear
- Principle:Lucidrains X transformers Autoregressive Training Loss
- Principle:NVIDIA NeMo Curator File Partitioning
- Principle:Deepset ai Haystack In Memory Document Storage
- Principle:Huggingface Datatrove Data Inspection
Implementations
- Implementation:Langgenius Dify Tailwind Common Config
- Implementation:Mlc ai Mlc llm Attention Op
- Implementation:OpenGVLab InternVL LR Scheduler Builder
- Implementation:Langfuse Langfuse Scores Repository
- Implementation:Explodinggradients Ragas Sample Annotated Summary Schema
- Implementation:Open compass VLMEvalKit BunnyLLama3
- Implementation:Ollama Ollama OpenAPI Spec
- Implementation:Ucbepic Docetl ReduceOptimizer
- Implementation:Avhz RustQuant Curve get rate
- Implementation:Scikit learn Scikit learn TestingUtils
Heuristics
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Kornia Kornia Numerical Stability Patterns
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:Langchain ai Langgraph Durability Mode Selection
- Heuristic:Huggingface Diffusers Memory Offloading Strategy
- Heuristic:ContextualAI HALOs Online Round Budgeting
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
Environments
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization