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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:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Puppeteer Puppeteer Browser Installation And Management
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
Principles
- Principle:Intel Ipex llm LoRA Adapter Injection QLoRA
- Principle:Vllm project Vllm Multimodal Input Preparation
- Principle:Huggingface Datatrove Exact Deduplication
- Principle:InternLM Lmdeploy Multimodal Inference
- Principle:ClickHouse ClickHouse Streaming JSON Tokenization
- Principle:Neuml Txtai Speech Synthesis
- Principle:Zai org CogVideo Optical Flow Training Loss
- Principle:SeleniumHQ Selenium WebDriver Session For CDP
- Principle:Scikit learn Scikit learn Feature Encoding
- Principle:Eventual Inc Daft Table Listing
Implementations
- Implementation:Online ml River Metrics ROCAUC
- Implementation:Haosulab ManiSkill UnitreeH1WithHands
- Implementation:FlagOpen FlagEmbedding BGE Coder FAISS Search
- Implementation:Helicone Helicone Filter Helpers
- Implementation:Openai Openai python Skill Model
- Implementation:Online ml River Bandit BayesUCB
- Implementation:Apache Paimon OptionsUtils Python
- Implementation:Online ml River Utils SortedWindow
- Implementation:EvolvingLMMs Lab Lmms eval Process Results
- Implementation:Cleanlab Cleanlab TC Display Issues
Heuristics
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
Environments
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Dagster io Dagster GRPC Communication
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment