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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:Zai org CogVideo Video Editing DDIM Inversion
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Apache Spark Application Submission
Principles
- Principle:Vllm project Vllm Speculative Method Selection
- Principle:Eric mitchell Direct preference optimization Evaluation And Sampling
- Principle:Facebookresearch Audiocraft Token Sampling Strategies
- Principle:Openai Openai agents python Prompt Templates
- Principle:Puppeteer Puppeteer Cross Browser Configuration
- Principle:Vespa engine Vespa Cloud Deployment Context
- Principle:Arize ai Phoenix OTel Tracer Registration
- Principle:OpenGVLab InternVL Segmentation Dataset Configuration
- Principle:Scikit learn Scikit learn Dataset Loading
- Principle:Volcengine Verl Frozen Dataclass Config
Implementations
- Implementation:Cohere ai Cohere python AwsChatModels
- Implementation:Farama Foundation Gymnasium Env Registry Init
- Implementation:Google deepmind Dm control MJCF Physics
- Implementation:ArroyoSystems Arroyo Expand Schema
- Implementation:Infiniflow Ragflow UseSelectFilters Hook
- Implementation:Hiyouga LLaMA Factory Ploting
- Implementation:Microsoft Onnxruntime ExportModelForInferencing Distributed
- Implementation:Nightwatchjs Nightwatch Nightwatch Options Type Definitions
- Implementation:Cleanlab Cleanlab CleanLearning Predict
- Implementation:FMInference FlexLLMGen HF OPT Benchmark Runner
Heuristics
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Openai Openai python Warning Deprecated Eval Stored Completions
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
Environments
- Environment:AUTOMATIC1111 Stable diffusion webui Xformers Attention
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Vllm project Vllm ROCm
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Truera Trulens Streamlit Dashboard Environment