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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:Zai org CogVideo Diffusers LoRA Finetuning
- Workflow:Guardrails ai Guardrails Custom Validator Development
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Avhz RustQuant Model Calibration
- Workflow:Apache Shardingsphere Cluster Mode Initialization
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Promptfoo Promptfoo Project Initialization
- Workflow:Pytorch Serve Large Model Inference
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
Principles
- Principle:Huggingface Datasets Parquet Export
- Principle:Langgenius Dify Retrieval Testing
- Principle:Open compass VLMEvalKit Image Inference Orchestration
- Principle:CrewAIInc CrewAI State Model Design
- Principle:Fastai Fastbook Latent Factor Model
- Principle:Apache Beam Twister2 Execution and Result Collection
- Principle:Gretelai Gretel synthetics GAN Model Persistence
- Principle:Pyro ppl Pyro Online Statistics
- Principle:SeldonIO Seldon core Tabular Data Query Filtering
- Principle:ARISE Initiative Robosuite Dynamics Randomization
Implementations
- Implementation:Microsoft Autogen Studio Elicitation Dialog
- Implementation:Microsoft Playwright Expect API
- Implementation:Tensorflow Tfjs CPU Register All Kernels
- Implementation:Scikit learn Scikit learn LocallyLinearEmbedding
- Implementation:Ggml org Ggml Mnist model init random
- Implementation:Deepspeedai DeepSpeed Py Copy
- Implementation:Mlc ai Mlc llm Ministral3 Loader
- Implementation:Infiniflow Ragflow GeneralForm Component
- Implementation:Pyro ppl Pyro Infer Discrete
- Implementation:Predibase Lorax Flash Gemma Modeling
Heuristics
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Apache Dolphinscheduler Gzip Compression Threshold
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
Environments
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Langfuse Langfuse PostgreSQL 17
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Apache Kafka Docker Build Environment
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Huggingface Alignment handbook Python Datasets