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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 |
Explore Pages
Workflows
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Marker Inc Korea AutoRAG Pipeline Deployment
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:OpenBMB UltraFeedback Completion Generation
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:DevExpress Testcafe Basic Test Authoring
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Triton inference server Server LLM Deployment With TRT LLM
Principles
- Principle:Deepset ai Haystack Retrieval MRR Evaluation
- Principle:Microsoft Onnxruntime TensorBoard Monitoring
- Principle:Axolotl ai cloud Axolotl SFT Training Execution
- Principle:Alibaba ROLL MCoreAdapter DPO Training
- Principle:Ollama Ollama MLXRunner Architecture
- Principle:Volcengine Verl Policy Loss Optimization
- Principle:Mlc ai Web llm Text Completion Configuration
- Principle:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Principle:PacktPublishing LLM Engineers Handbook Feature Store Query
- Principle:Kserve Kserve Ingress Routing
Implementations
- Implementation:Openai Evals FewShotSolver
- Implementation:Mistralai Client python ChatCompletionResponse
- Implementation:Pyro ppl Pyro ReparamMessenger
- Implementation:Datajuicer Data juicer RangeSpecifiedFieldSelector
- Implementation:FlagOpen FlagEmbedding BGE Coder CoIR Eval
- Implementation:Duckdb Duckdb Brotli Encoder
- Implementation:BerriAI Litellm Rerank Types
- Implementation:Facebookresearch Habitat lab UserMask
- Implementation:Huggingface Diffusers Scheduler From Config
- Implementation:Datahub project Datahub MergeIntoCommandEdgeInputDatasetBuilder
Heuristics
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Huggingface Trl Distributed Device Map Override
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
Environments
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Protectai Modelscan Python Core Runtime
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Langgenius Dify Credentials And Env Vars