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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:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Haotian liu LLaVA Web Demo Deployment
- Workflow:Microsoft Onnxruntime Distributed Model Training
- Workflow:FlowiseAI Flowise Chatflow Creation
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Snorkel team Snorkel Data Augmentation
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Farama Foundation Gymnasium RL Agent Training Loop
Principles
- Principle:SeldonIO Seldon core Explainer Base Model Deployment
- Principle:OpenGVLab InternVL DDP Gradient Compression
- Principle:Evidentlyai Evidently Regression Quality Evaluation
- Principle:Norrrrrrr lyn WAInjectBench Per File Text Detection
- Principle:ARISE Initiative Robosuite Sensor Corruption Modeling
- Principle:Datajuicer Data juicer Partition Size Optimization
- Principle:Lucidrains X transformers Encoder Decoder Training
- Principle:Ollama Ollama LLM Inference Pipeline
- Principle:Huggingface Trl DPO Reference Model Setup
- Principle:Facebookresearch Habitat lab HITL Environment Setup
Implementations
- Implementation:ARISE Initiative Robosuite Collect Human Trajectory
- Implementation:Apache Paimon ConfigOptions
- Implementation:Scikit learn Scikit learn GaussianMixture
- Implementation:BerriAI Litellm Router Init
- Implementation:LaurentMazare Tch rs Custom Optimizer Example
- Implementation:Vibrantlabsai Ragas CacheFramework
- Implementation:NVIDIA TransformerEngine JAX XLA GEMM
- Implementation:Microsoft Onnxruntime CPU AdamW
- Implementation:Facebookresearch Audiocraft SoundDataset
- Implementation:MarketSquare Robotframework browser Close Browser Run On Failure
Heuristics
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:Turboderp org Exllamav2 Memory Optimization Techniques
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
Environments
- Environment:Pyro ppl Pyro Distributed Training
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Apache Paimon Optional Extensions
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Scikit learn contrib Imbalanced learn Python Scikit learn
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:Intel Ipex llm vLLM XPU Serving Environment