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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:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Groq Groq python Audio Transcription
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Apache Kafka Docker Image Release
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
Principles
- Principle:Open compass VLMEvalKit Model Validation
- Principle:Testtimescaling Testtimescaling github io Paper Relevance Assessment
- Principle:Neuml Txtai RAG Query Execution
- Principle:Nightwatchjs Nightwatch Page Commands
- Principle:Unslothai Unsloth Reward Function Design
- Principle:Lm sys FastChat Vision Image Processing
- Principle:ArroyoSystems Arroyo Two Phase Commit
- Principle:HKUDS AI Trader A Share Data Fetching
- Principle:Truera Trulens Snowflake Connection Configuration
- Principle:Mlflow Mlflow Trace Assessment
Implementations
- Implementation:Run llama Llama index SemanticSimilarityEvaluator
- Implementation:Ray project Ray ParallelActor ActorCall
- Implementation:Microsoft Autogen BaseGroupChat Run
- Implementation:Microsoft Playwright Client Input
- Implementation:Danijar Dreamerv3 Parallel Learner
- Implementation:Googleapis Python genai Models Generate Images
- Implementation:AUTOMATIC1111 Stable diffusion webui Create embedding
- Implementation:NVIDIA TransformerEngine JAX Dense
- Implementation:Facebookresearch Habitat lab StaticManipulator
- Implementation:Helicone Helicone ModelProviderConfig
Heuristics
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Apache Dolphinscheduler Epoll Vs NIO Selection
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Huggingface Datasets Num Proc Guidelines
- Heuristic:Avhz RustQuant Discretization Scheme Selection
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
Environments
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:BerriAI Litellm Observability Stack
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Vllm project Vllm CUDA GPU Runtime