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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:Bigscience workshop Petals Server Contribution
- Workflow:Ggml org Ggml MNIST Training And Evaluation
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:Cypress io Cypress Binary Build and Release
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Pyro ppl Pyro SVI Training
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Online ml River Online Clustering
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
Principles
- Principle:Roboflow Rf detr ONNX Runtime Validation
- Principle:DataTalksClub Data engineering zoomcamp Dbt Project Configuration
- Principle:Huggingface Datatrove Core Data Structures
- Principle:Ray project Ray Runtime Shutdown
- Principle:Speechbrain Speechbrain Speaker Embedding Model Training
- Principle:Haosulab ManiSkill Parallel Trajectory Generation
- Principle:Pytorch Serve vLLM Model Configuration
- Principle:Pyro ppl Pyro Inference Utilities
- Principle:Infiniflow Ragflow Deployment Prerequisites
- Principle:DistrictDataLabs Yellowbrick Text Feature Visualization
Implementations
- Implementation:Kserve Kserve LLM Worker DP Config
- Implementation:Speechbrain Speechbrain DNS Noisy Speech Synthesizer
- Implementation:Apache Druid MaxTasksButton
- Implementation:Neuml Txtai AudioStream
- Implementation:Openai Openai node Ecosystem CLI
- Implementation:Vllm project Vllm EngineArgs Init
- Implementation:Risingwavelabs Risingwave OpensearchBulkProcessorAdapter
- Implementation:Duckdb Duckdb FastPForLib
- Implementation:Nightwatchjs Nightwatch Custom Command Interface
- Implementation:Mit han lab Llm awq InternVL Benchmark
Heuristics
- Heuristic:Huggingface Alignment handbook Gradient Checkpointing Use Cache
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Confident ai Deepeval Timeout and Retry Tuning
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:Onnx Onnx Shape Inference Limitations
- Heuristic:Getgauge Taiko Navigation Wait Strategy
Environments
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Allenai Open instruct Python 3 12 Runtime
- Environment:NVIDIA TransformerEngine GPU Compute Capability
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:VainF Torch Pruning LLM Pruning Dependencies
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Huggingface Open r1 CUDA Environment