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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:Explodinggradients Ragas Agent Evaluation
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Apache Kafka PR Merge And Backport
- Workflow:Openai Openai agents python Human In The Loop Approval
Principles
- Principle:Openai Evals Chain of Thought Prompting
- Principle:Apache Airflow DAG Deployment
- Principle:Huggingface Datasets ImageFolder Dataset Building
- Principle:Haifengl Smile Model Serialization
- Principle:Apache Beam Pipeline Graph Construction
- Principle:EvolvingLMMs Lab Lmms eval Response Caching
- Principle:Promptfoo Promptfoo Vulnerability Grading
- Principle:Bitsandbytes foundation Bitsandbytes Lazy 4bit Quantization
- Principle:Isaac sim IsaacGymEnvs 3D Rotation Mathematics
- Principle:Trailofbits Fickling Hook Deactivation
Implementations
- Implementation:Openai Openai python Container Create Response
- Implementation:BerriAI Litellm Budget Manager
- Implementation:OpenRLHF OpenRLHF DeepspeedStrategy create optimizer
- Implementation:Online ml River Tree Splitter Random
- Implementation:Mlc ai Mlc llm Disagg Prepare Recv
- Implementation:Shiyu coder Kronos Kronos From Pretrained
- Implementation:Arize ai Phoenix Register Function
- Implementation:Datahub project Datahub HasTags Mixin
- Implementation:BerriAI Litellm Get Supported Openai Params
- Implementation:Turboderp org Exllamav2 ExLlamaV2DynamicJob
Heuristics
- Heuristic:NVIDIA NeMo Aligner PPO NCCL Algorithm Setting
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Teamcapybara Capybara Animation Disabling For Tests
Environments
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Huggingface Datasets Python PyArrow Core
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:Nautechsystems Nautilus trader Binance API Credentials
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Apache Hudi Java Maven Build Environment