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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:Triton inference server Server Ensemble Model Pipeline
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Iterative Dvc Plot Visualization
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Lance format Lance Version Management
- Workflow:Apache Spark Kubernetes Deployment
- Workflow:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:LaurentMazare Tch rs MNIST Training
Principles
- Principle:Recommenders team Recommenders Data Loading MovieLens Pandas
- Principle:CARLA simulator Carla Map Loading
- Principle:Onnx Onnx IO Map Definition
- Principle:Heibaiying BigData Notes Hive Table Definition
- Principle:Apache Hudi Docker Prerequisites Check
- Principle:ARISE Initiative Robosuite Gripper Model Design
- Principle:CrewAIInc CrewAI Iterative Improvement
- Principle:Microsoft Onnxruntime Model Metadata Inspection
- Principle:Sdv dev SDV Sequential Data Sampling
- Principle:Interpretml Interpret Optimal Transport Selection
Implementations
- Implementation:Infiniflow Ragflow Rag Tokenizer Tokenize
- Implementation:Hiyouga LLaMA Factory Constants
- Implementation:Bentoml BentoML Client Base
- Implementation:Tensorflow Serving MNIST Input Data
- Implementation:PacktPublishing LLM Engineers Handbook Create Train Test Split
- Implementation:Triton inference server Server CommonUtils
- Implementation:Alibaba MNN FlatBuffers Core Header
- Implementation:AUTOMATIC1111 Stable diffusion webui System Info
- Implementation:Huggingface Transformers Load Adapter
- Implementation:Fastai Fastbook Embedding Inspection
Heuristics
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:Rapidsai Cuml Batch Size Memory Tradeoff
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
Environments
- Environment:Openai CLIP Python Dependencies
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Obss Sahi Python Image Processing
- Environment:Vllm project Vllm Benchmarks
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Unstructured IO Unstructured All Docs
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Recommenders team Recommenders Spark Environment
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:OpenHands OpenHands Integration Credentials