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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:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Trailofbits Fickling PyTorch Format Identification
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Mistralai Client python Finetuning Job Management
Principles
- Principle:Volcengine Verl RLHF Data Preparation
- Principle:Explodinggradients Ragas Tool Call Accuracy Evaluation
- Principle:Tensorflow Serving JSON Request Formatting
- Principle:Online ml River Online ML Utilities
- Principle:Apache Dolphinscheduler Parameter Validation And Transformation
- Principle:Google deepmind Dm control MJCF Element Query
- Principle:CARLA simulator Carla Traffic Manager Initialization
- Principle:Ggml org Llama cpp LoggingInfrastructure
- Principle:Datahub project Datahub Protobuf Metadata Emission
- Principle:Intel Ipex llm Lookahead Decoding
Implementations
- Implementation:OpenGVLab InternVL M4C Evaluator
- Implementation:Langgenius Dify Service Common
- Implementation:ArroyoSystems Arroyo Lookup Join
- Implementation:Haosulab ManiSkill WidowX250S
- Implementation:Lm sys FastChat Make Supervised Data Module
- Implementation:FlagOpen FlagEmbedding LLM Embedder Eval MMLU
- Implementation:BerriAI Litellm Cache Init
- Implementation:Microsoft Autogen Swarm Init
- Implementation:Haosulab ManiSkill AntEnv
- Implementation:Openai Openai node Grader Models
Heuristics
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Datahub project Datahub Validation Cross API
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:Vllm project Vllm Batch Size Hardware Scaling
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
Environments
- Environment:Apache Flink Python PyFlink Environment
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Huggingface Peft Python Core Dependencies
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Langfuse Langfuse Docker Infrastructure