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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:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Openai CLIP Zero shot image classification
- Workflow:Mlc ai Web llm Function Calling
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Openai Evals Running a single eval
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:Deepseek ai Janus Autoregressive Image Generation
Principles
- Principle:Deepset ai Haystack Pipeline Orchestration
- Principle:Alibaba MNN Operator Fusion Codegen
- Principle:Google deepmind Mujoco Pipeline Architecture
- Principle:Langchain ai Langchain Standard Integration Testing
- Principle:Nautechsystems Nautilus trader Code Quality Gating
- Principle:CarperAI Trlx Online RL Training
- Principle:NVIDIA NeMo Curator Video Ingestion
- Principle:Togethercomputer Together python Image Response Processing
- Principle:Ollama Ollama MLXRunner Architecture
- Principle:Ggml org Ggml Computation Graph Construction
Implementations
- Implementation:Guardrails ai Guardrails Structured Data Utils
- Implementation:Lm sys FastChat Build Side By Side Vision Anony UI
- Implementation:Norrrrrrr lyn WAInjectBench AdamW Training Loop
- Implementation:Mlc ai Web llm Function Calling Model Ids
- Implementation:Openai Openai agents python RunResultStreaming
- Implementation:Scikit learn Scikit learn FetchLfw
- Implementation:Pyro ppl Pyro TraceTMC ELBO
- Implementation:Protectai Modelscan Issues Group By Severity
- Implementation:Ggml org Llama cpp Ngram Mod
- Implementation:Infiniflow Ragflow SetMetaDialog Component
Heuristics
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:DistrictDataLabs Yellowbrick NaN Data Handling
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Promptfoo Promptfoo Cache Configuration Tips
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
Environments
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Truera Trulens Python Core Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Apache Spark Python Environment
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Confident ai Deepeval LLM Provider Credentials