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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:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Confident ai Deepeval End to End LLM Evaluation
- Workflow:Haifengl Smile SQL Analytics Pipeline
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Fede1024 Rust rdkafka Transactional Produce Consume
- Workflow:Huggingface Open r1 Model Evaluation
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
Principles
- Principle:Deepset ai Haystack Document Embedding
- Principle:Huggingface Datatrove Multilingual Word Tokenization
- Principle:HKUDS AI Trader Parallel Agent Execution
- Principle:Treeverse LakeFS Import Progress Monitoring
- Principle:Langgenius Dify Tool Integration
- Principle:AUTOMATIC1111 Stable diffusion webui Latent Diffusion Pipeline
- Principle:Guardrails ai Guardrails Validation Outcome Handling
- Principle:Norrrrrrr lyn WAInjectBench Model Serialization
- Principle:Ggml org Ggml Weight Extraction and Mapping
- Principle:TobikoData Sqlmesh Project Loading And Validation
Implementations
- Implementation:SeleniumHQ Selenium ImmutableCapabilities
- Implementation:Run llama Llama index Evaluator Init
- Implementation:Open compass VLMEvalKit MEGABench LaTeX Expr Equality
- Implementation:Huggingface Open r1 Get Model and Tokenizer
- Implementation:Kubeflow Pipelines MLMD Service Protobuf
- Implementation:Recommenders team Recommenders Criteo Dataset
- Implementation:Langgenius Dify Use Education
- Implementation:Tensorflow Tfjs Tensorflowjs Converter CLI
- Implementation:Sdv dev SDV Metadata Detect From Dataframes
- Implementation:Avhz RustQuant ZeroCouponBond
Heuristics
- Heuristic:Apache Airflow Task Idempotency Pattern
- Heuristic:Datahub project Datahub Spark Databricks Coalescing
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
Environments
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Langgenius Dify Python Backend Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Lance format Lance Rust Toolchain
- Environment:Intel Ipex llm Linux XPU Environment
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Allenai Open instruct Docker Container
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Wandb Weave Python SDK Runtime