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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:Pyro ppl Pyro Discrete Enumeration
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Huggingface Datasets Hub Publishing
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:Openai Evals Running an eval set
Principles
- Principle:Googleapis Python genai Tuning Job Configuration
- Principle:Online ml River Multi Output Learning
- Principle:DistrictDataLabs Yellowbrick Dataset Management
- Principle:Bentoml BentoML Cloud Authentication
- Principle:Ggml org Ggml Vision Encoder Execution
- Principle:Lm sys FastChat Distributed SFT Training
- Principle:Ggml org Llama cpp LoRA Model Merging
- Principle:Wandb Weave Version Bump Dev
- Principle:Wandb Weave Dataset Preparation
- Principle:Treeverse LakeFS S3 Commit Management
Implementations
- Implementation:Mlc ai Mlc llm Error Protocol
- Implementation:Scikit learn Scikit learn GaussianProcessRegressor
- Implementation:Open compass VLMEvalKit CCOCR Doc Parsing Evaluator
- Implementation:Huggingface Datatrove HuggingFaceDatasetReader
- Implementation:Open compass VLMEvalKit ReasonMap Plus
- Implementation:Ollama Ollama Sampling Ext
- Implementation:SqueezeAILab ETS Grade Answer
- Implementation:Google deepmind Mujoco MJX Scan
- Implementation:LLMBook zh LLMBook zh github io Quantize Func
- Implementation:NVIDIA NeMo Aligner Prepare Packed DPO Dataset
Heuristics
- Heuristic:Nautechsystems Nautilus trader Strategy On Start Initialization
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:Elevenlabs Elevenlabs python TTS Model Selection
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
Environments
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Kserve Kserve Leader Worker Set
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Vllm project Vllm Distributed
- Environment:Huggingface Datatrove Python Runtime
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Tensorflow Tfjs Python Converter
- Environment:HKUDS AI Trader Python LangChain Runtime
- Environment:Hiyouga LLaMA Factory Quantization Dependencies