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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:Danijar Dreamerv3 Single Process Training
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Pyro ppl Pyro Discrete Enumeration
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:Allenai Open instruct Tulu3 Full Post Training
Principles
- Principle:Apache Paimon Manifest Management
- Principle:Fede1024 Rust rdkafka Cluster Administration
- Principle:Risingwavelabs Risingwave Metrics Dashboard Generation
- Principle:Alibaba ROLL LoRA Checkpoint Merging
- Principle:Apache Kafka Buildx Builder Setup
- Principle:Webdriverio Webdriverio Service Lifecycle
- Principle:Lm sys FastChat Prompt Topic Clustering
- Principle:Online ml River Anomaly Threshold Filtering
- Principle:Lance format Lance Compaction Commit
- Principle:Tensorflow Serving Dependency Ownership
Implementations
- Implementation:Huggingface Datasets Csv Builder
- Implementation:Pola rs Polars Buffer
- Implementation:Microsoft DeepSpeedExamples Alpaca Training Dataset
- Implementation:Haosulab ManiSkill UnitreeG1
- Implementation:Ollama Ollama Mtmd Whisper Encoder
- Implementation:Apache Druid Formatting And Array Manipulation
- Implementation:Protectai Llm guard Benchmark run
- Implementation:Explodinggradients Ragas MultiModalFaithfulness Metric
- Implementation:LaurentMazare Tch rs Nn Batch Norm2d
- Implementation:OpenBMB UltraFeedback World Knowledge Template Substitution
Heuristics
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Pola rs Polars Lazy Over Eager Preference
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Ggml org Ggml Thread Count Selection
- Heuristic:DevExpress Testcafe Window Resize Correction
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Mlfoundations Open flamingo RICES Feature Caching
- Heuristic:Langgenius Dify SSE Streaming Error Handling
Environments
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Sgl project Sglang Python Dependencies
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:Triton inference server Server Docker Container Build
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:DevExpress Testcafe Node Runtime