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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:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Apache Hudi Flink Streaming Write
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:NVIDIA DALI Video Processing Pipeline
Principles
- Principle:NVIDIA NeMo Curator Fuzzy Duplicate Identification
- Principle:Lm sys FastChat OpenAI Compatible API Serving
- Principle:TA Lib Ta lib python DataFrame Integration
- Principle:Huggingface Peft Causal LM Dataset Preparation
- Principle:Mlfoundations Open flamingo Classification Evaluation
- Principle:Truera Trulens Session Initialization
- Principle:Microsoft Onnxruntime Nodejs Runtime Setup
- Principle:Unslothai Unsloth Project Configuration
- Principle:PacktPublishing LLM Engineers Handbook Post Training Inference Validation
- Principle:DataTalksClub Data engineering zoomcamp Dataset Unification
Implementations
- Implementation:Huggingface Trl DPOTrainer Evaluate Save
- Implementation:Online ml River Neighbors KNNRegressor
- Implementation:Mlc ai Mlc llm Calibrate Interface
- Implementation:Langgenius Dify SendCompletionMessage
- Implementation:Infiniflow Ragflow ConversationService Save And Chat
- Implementation:Online ml River NaiveBayes GaussianNB
- Implementation:Scikit learn Scikit learn Make Scorer
- Implementation:Microsoft DeepSpeedExamples Net DeepSpeed
- Implementation:Predibase Lorax Flash RW Modeling
- Implementation:TobikoData Sqlmesh Common Utils
Heuristics
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Huggingface Diffusers Memory Offloading Strategy
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Fede1024 Rust rdkafka Commit Mode Sync Vs Async
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Huggingface Open r1 Reward Function Tuning
Environments
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:CrewAIInc CrewAI Optional Provider Dependencies
- Environment:Sgl project Sglang Distributed
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Online ml River Build Toolchain
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:OpenRLHF OpenRLHF vLLM Environment