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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:Tensorflow Serving REST API Inference
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Apache Spark Application Submission
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
Principles
- Principle:Ggml org Llama cpp Server Build
- Principle:NVIDIA DALI File Reading
- Principle:Microsoft DeepSpeedExamples ZeRO Inference Environment
- Principle:Bitsandbytes foundation Bitsandbytes Lazy 4bit Quantization
- Principle:Elevenlabs Elevenlabs python Realtime Speech to Text
- Principle:Open compass VLMEvalKit MCQ Evaluation
- Principle:Webdriverio Webdriverio ESLint Plugin Architecture
- Principle:Kornia Kornia Augmentation Pipeline
- Principle:LMCache LMCache Disaggregated Prefill Prerequisites
- Principle:Google deepmind Mujoco Collision Detection
Implementations
- Implementation:Speechbrain Speechbrain Train IWSLT22 W2V mBART
- Implementation:Mit han lab Llm awq Get calib dataset
- Implementation:Scikit learn Scikit learn RankingMetrics
- Implementation:Arize ai Phoenix Evals Executors
- Implementation:Alibaba ROLL MathRuleRewardWorker Compute Rewards
- Implementation:VainF Torch Pruning GroupHessianImportance
- Implementation:Anthropics Anthropic sdk python BetaContentBlock
- Implementation:Online ml River Linear Model Perceptron
- Implementation:Deepset ai Haystack DocumentRecallEvaluator
- Implementation:ChenghaoMou Text dedup SA Run Command
Heuristics
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:HKUDS AI Trader DeepSeek Tool Args Workaround
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Lm sys FastChat Vicuna SFT Training Hyperparameters
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
Environments
- Environment:Vllm project Vllm AMD ROCm
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Allenai Open instruct Ray Distributed
- Environment:Lance format Lance Python Environment