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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 Diffusers Video Generation
- Workflow:Zai org CogVideo Diffusers LoRA Finetuning
- Workflow:Langgenius Dify Application Creation
- Workflow:Onnx Onnx Model Composition
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Hpcaitech ColossalAI LLaMA Continual Pretraining
- Workflow:Interpretml Interpret EBM Model Export
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Sdv dev SDV Single table synthesis
- Workflow:TobikoData Sqlmesh Plan and apply deployment
Principles
- Principle:Spotify Luigi MapReduce Processing
- Principle:Facebookresearch Audiocraft Pretrained Compression Export
- Principle:Microsoft DeepSpeedExamples ZeRO3 CPU Offload Training
- Principle:Langchain ai Langchain Chat Model Implementation
- Principle:Roboflow Rf detr Checkpoint Management
- Principle:NVIDIA NeMo Aligner Reward Model Serving
- Principle:Helicone Helicone Backend Log Processing
- Principle:Tensorflow Serving Session Bundle Migration
- Principle:Groq Groq python Audio Transcription Request
- Principle:ArroyoSystems Arroyo Two Phase Commit
Implementations
- Implementation:Mlc ai Mlc llm Medusa Model
- Implementation:Mlc ai Mlc llm Auto Config
- Implementation:Datajuicer Data juicer ExtractKeywordMapper
- Implementation:SeleniumHQ Selenium Closure Iter
- Implementation:Tencent Ncnn Mat Pixel Affine
- Implementation:Farama Foundation Gymnasium Walker2dEnv V4
- Implementation:Sdv dev SDV BaseSynthesizer Fit
- Implementation:Speechbrain Speechbrain Prepare KsponSpeech Tokenizer
- Implementation:Avhz RustQuant Bachelier Model
- Implementation:Infiniflow Ragflow EmbedAppModal Component
Heuristics
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Allenai Open instruct Disable Dropout In RL
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:VainF Torch Pruning Pruning Ratio vs Parameter Ratio
Environments
- Environment:Vllm project Vllm AMD ROCm
- Environment:Sail sg LongSpec Training Environment
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Rapidsai Cuml Dask Distributed
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Sgl project Sglang Python Dependencies
- Environment:Alibaba MNN GPU OpenCL Environment