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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:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Truera Trulens Snowflake Observability Pipeline
- Workflow:Hpcaitech ColossalAI Distributed GRPO Training
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:Treeverse LakeFS External Data Import
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:Vespa engine Vespa Logging framework initialization
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
Principles
- Principle:ChenghaoMou Text dedup LSH Banding And Clustering
- Principle:Unslothai Unsloth AIME Evaluation
- Principle:ClickHouse ClickHouse Unicode Character Width
- Principle:Junyanz Pytorch CycleGAN and pix2pix Pretrained Model Download
- Principle:Infiniflow Ragflow Parser Options Configuration
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:Princeton nlp SimPO Environment Setup
- Principle:Langchain ai Langgraph Interrupt Definition
- Principle:Apache Druid Data Filtering
- Principle:AUTOMATIC1111 Stable diffusion webui Startup Performance Profiling
Implementations
- Implementation:Avhz RustQuant Gaussian Distribution
- Implementation:Tensorflow Serving Streaming Batch Scheduler Test
- Implementation:Kornia Kornia Cauchy Loss
- Implementation:Predibase Lorax GPTQ Utils Custom Autotune
- Implementation:Kornia Kornia Welsch Loss
- Implementation:Risingwavelabs Risingwave DbzCdcEngineRunner Start
- Implementation:Predibase Lorax Generate Response Handler
- Implementation:Interpretml Interpret Objective Framework
- Implementation:Langgenius Dify Frontend Package
- Implementation:Scikit learn Scikit learn KFold Init
Heuristics
- Heuristic:Groq Groq python Streaming Usage Stats
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Microsoft Autogen Model Context Limiting
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
Environments
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Kserve Kserve Knative Serving
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Huggingface Open r1 CUDA Environment
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Vllm project Vllm CUDA
- Environment:Sgl project Sglang Distributed