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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:Mistralai Client python Chat Completion
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Huggingface Datasets Format Conversion
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Datahub project Datahub Metadata Actions Pipeline
Principles
- Principle:MaterializeInc Materialize Upgrade Scenario Execution
- Principle:Evidentlyai Evidently LLM Judge Evaluation
- Principle:Diagram of thought Diagram of thought Prompt Template Selection
- Principle:Ggml org Llama cpp AdapterSupport
- Principle:Openai Openai node File Processing Verification
- Principle:Openai Openai python Realtime Conversation Management
- Principle:Isaac sim IsaacGymEnvs Factory Scene Initialization
- Principle:Datajuicer Data juicer Ray Cluster Initialization
- Principle:Webdriverio Webdriverio Driver Management
- Principle:ArroyoSystems Arroyo Job State Machine
Implementations
- Implementation:Tensorflow Tfjs CenterCrop Layer
- Implementation:Intel Ipex llm Deepspeed AutoTP FastAPI Serving
- Implementation:Rapidsai Cuml Manifold Common
- Implementation:NVIDIA NeMo Curator MarkdownRemover
- Implementation:Pytorch Serve Accelerate Handler
- Implementation:Open compass VLMEvalKit VGRPBench Renzoku
- Implementation:Microsoft Onnxruntime ExportModelForInferencing Distributed
- Implementation:Ggml org Ggml Webgpu backend
- Implementation:Puppeteer Puppeteer Website Package Lock
- Implementation:Ggml org Llama cpp Common Header
Heuristics
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Spotify Luigi Dynamic Requirements Generator
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Deepseek ai Janus Bfloat16 Operation Workarounds
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
Environments
- Environment:Pyro ppl Pyro Distributed Training
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:Shiyu coder Kronos DDP Multi GPU Environment
- Environment:Apache Hudi Docker Demo Environment
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:Sgl project Sglang Kubernetes
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Mage ai Mage ai Python 3 9 Runtime