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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:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Onnx Onnx Model Validation
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:Princeton nlp SimPO SimPO Training
Principles
- Principle:Scikit learn Scikit learn Search Results Analysis
- Principle:Bigscience workshop Petals Server Configuration
- Principle:Haosulab ManiSkill Trajectory Dataset Loading
- Principle:Iterative Dvc Pipeline Visualization
- Principle:Nautechsystems Nautilus trader Parquet Catalog Initialization
- Principle:Farama Foundation Gymnasium Environment Validation
- Principle:DevExpress Testcafe CI Environment Setup
- Principle:FlowiseAI Flowise Prompt Management
- Principle:TA Lib Ta lib python Candlestick Pattern Detection
- Principle:Lm sys FastChat LLM Prompt Classification
Implementations
- Implementation:CARLA simulator Carla MotionPlanStage
- Implementation:CARLA simulator Carla ALSM
- Implementation:Lakeraai Pint benchmark Dataset Loading And Formatting
- Implementation:Alibaba MNN Protobuf Map Type Handler H
- Implementation:Interpretml Interpret LogLossBinaryObjective
- Implementation:Hpcaitech ColossalAI Checkpoint IO
- Implementation:Webdriverio Webdriverio Url Dollar DollarDollar Commands
- Implementation:Tensorflow Tfjs Rescaling Layer
- Implementation:Microsoft Playwright CrDevTools
- Implementation:Gretelai Gretel synthetics DataFrameBatch Train All Batches
Heuristics
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Nightwatchjs Nightwatch Timeout And Retry Tuning
- Heuristic:Microsoft LoRA LoRA Init Strategy
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Fede1024 Rust rdkafka Librdkafka Debug Logging
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
- Heuristic:Groq Groq python Timeout Configuration
Environments
- Environment:Ollama Ollama CGo Runtime
- Environment:Iterative Dvc DVC Environment Variables
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:OpenHands OpenHands Frontend Build Environment
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Duckdb Duckdb Code Formatting Tools