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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:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Online ml River Binary Classification Pipeline
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Fastai Fastbook Image Classification
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:HKUDS AI Trader Multi Agent Comparison
Principles
- Principle:MarketSquare Robotframework browser Library Import and Configuration
- Principle:Ggml org Llama cpp Multimodal Model Acquisition
- Principle:Scikit learn contrib Imbalanced learn Cluster Centroid Under Sampling
- Principle:Dotnet Machinelearning Binary Classification Training
- Principle:Apache Kafka Coordinator Metadata Propagation
- Principle:FlowiseAI Flowise Model Configuration
- Principle:Huggingface Datasets Parquet Dataset Building
- Principle:OpenGVLab InternVL LoRA Adapter Merging
- Principle:Huggingface Diffusers Memory Optimization
- Principle:Speechbrain Speechbrain Dataset Specific Data Preparation
Implementations
- Implementation:Hpcaitech ColossalAI AccumulativeMeanMeter
- Implementation:Kornia Kornia Boxes
- Implementation:Lm sys FastChat Huggingface API Inference
- Implementation:Open compass VLMEvalKit ImageMTDataset
- Implementation:Datajuicer Data juicer QueryTopicDetectionMapper
- Implementation:Arize ai Phoenix Experiment Types
- Implementation:Langgenius Dify App Layout
- Implementation:Kubeflow Kubeflow GitHub PR DCO Signoff
- Implementation:Lance format Lance Java Branch
- Implementation:Arize ai Phoenix RanExperiment Analysis
Heuristics
- Heuristic:Huggingface Optimum Device Offload Constraints
- Heuristic:Nightwatchjs Nightwatch Timeout And Retry Tuning
- Heuristic:Apache Shardingsphere Worker ID Reservation Strategy
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:PrefectHQ Prefect Concurrency Limit Scoping
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
Environments
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Iterative Dvc Remote Storage Backends
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Spotify Luigi Hadoop HDFS Cluster
- Environment:Sgl project Sglang Grafana
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment