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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:Fastai Fastbook NLP Text Classification
- Workflow:Huggingface Datatrove Summary Statistics
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Danijar Dreamerv3 Evaluation Only
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Wandb Weave LLM Integration Tracing
- Workflow:Fastai Fastbook Image Classification
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Wandb Weave Tracing Setup
- Workflow:Nightwatchjs Nightwatch Component Testing
Principles
- Principle:Ggml org Llama cpp LoRA Model Merging
- Principle:Obss Sahi COCO Dataset Slicing
- Principle:FlagOpen FlagEmbedding Dense Retrieval
- Principle:Anthropics Anthropic sdk python Message Request Construction
- Principle:Protectai Modelscan Model Security Scanning
- Principle:Apache Paimon Catalog Object Model
- Principle:Datahub project Datahub Batch Ingestion Execution
- Principle:Haotian liu LLaVA Benchmark Metric Computation
- Principle:Teamcapybara Capybara Form Field Filling
- Principle:Online ml River API Documentation Generation
Implementations
- Implementation:Online ml River Optim Losses
- Implementation:Cohere ai Cohere python RerankerDataMetrics Model
- Implementation:ArroyoSystems Arroyo Expand Schema
- Implementation:Langchain ai Langgraph StoreEmbedding
- Implementation:Intel Ipex llm Transformers Trainer LoRA
- Implementation:Ollama Ollama Discover CPU Linux
- Implementation:Risingwavelabs Risingwave DynConstructors
- Implementation:Cohere ai Cohere python ConnectorsClient
- Implementation:Farama Foundation Gymnasium AntEnv V4
- Implementation:Fastai Fastbook Collab Untar Data
Heuristics
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Spotify Luigi PySpark Task Serialization
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Bitsandbytes foundation Bitsandbytes Compressed Statistics Double Quantization
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
Environments
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Sgl project Sglang CUDA
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime