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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:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Openai Openai node Chat Completion
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Mistralai Client python Function Calling
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
Principles
- Principle:Ggml org Llama cpp Text Retrieval
- Principle:Microsoft DeepSpeedExamples RLHF Data Preparation
- Principle:Duckdb Duckdb Benchmark Build Configuration
- Principle:SeldonIO Seldon core Experiment Execution
- Principle:Mlc ai Web llm Cross Thread Request Forwarding
- Principle:Huggingface Optimum Calibration Data Preparation
- Principle:Langfuse Langfuse Ingestion Queue Dispatch
- Principle:Facebookresearch Habitat lab Data Recording
- Principle:CARLA simulator Carla Recording Finalization
- Principle:PrefectHQ Prefect Python Package Configuration
Implementations
- Implementation:Vibrantlabsai Ragas PromptMixin
- Implementation:Langgenius Dify Navigation Utils
- Implementation:Turboderp org Exllamav2 Ext QAttn H
- Implementation:Avhz RustQuant Heston93 Model
- Implementation:Facebookresearch Habitat lab ActionSpace
- Implementation:Cohere ai Cohere python AwsChatModels
- Implementation:Apache Airflow Configuration Parser
- Implementation:LMCache LMCache CacheGen Decoder
- Implementation:Ollama Ollama Llama Base64
- Implementation:Marker Inc Korea AutoRAG Generate Simple QA Dataset
Heuristics
- Heuristic:Openai Evals Chat Format Recommendation
- Heuristic:Shiyu coder Kronos Learning Rate And Optimizer Tuning
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:MarketSquare Robotframework browser Windows Shell NPM Workaround
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:PacktPublishing LLM Engineers Handbook LoRA Finetuning Parameters
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Huggingface Transformers Dataloader Pin Memory NonBlocking
- Heuristic:Huggingface Alignment handbook DDP Bias Buffer Ignore
Environments
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Vllm project Vllm Intel XPU
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Infiniflow Ragflow GPU CUDA Environment