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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:Huggingface Datatrove FineWeb Dataset Creation
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Huggingface Datasets Dataset Loading and Exploration
Principles
- Principle:Ggml org Llama cpp Input Provenance Tracking
- Principle:Deepset ai Haystack Document Language Classification
- Principle:Google deepmind Dm control Manipulation Visualization
- Principle:Apache Druid Query History
- Principle:Google deepmind Dm control Soccer Visualization
- Principle:Huggingface Trl DPO Evaluation and Saving
- Principle:Recommenders team Recommenders SAR Algorithm
- Principle:Treeverse LakeFS S3 Data Writing
- Principle:LLMBook zh LLMBook zh github io Instruction Data Formatting
- Principle:LLMBook zh LLMBook zh github io LLaMA Decoder Layer
Implementations
- Implementation:Pola rs Polars Scan for Streaming
- Implementation:Alibaba ROLL Identity Dataset
- Implementation:TobikoData Sqlmesh Model ModuleController
- Implementation:Mit han lab Llm awq CLIPAttentionFused
- Implementation:Kornia Kornia Lovasz Softmax Loss
- Implementation:Google deepmind Mujoco mj deleteData mj deleteModel
- Implementation:Langgenius Dify Service Common
- Implementation:Haosulab ManiSkill UR10e
- Implementation:Protectai Modelscan Settings Configuration
- Implementation:Bentoml BentoML Models Export Import
Heuristics
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Openclaw Openclaw Retry With Exponential Backoff
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:Alibaba ROLL Sequence Packing Alignment
Environments
- Environment:Openai Openai python Voice Helpers
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:ArroyoSystems Arroyo Object Storage
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:Vllm project Vllm AMD ROCm