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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 MCMC Inference
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Facebookresearch Habitat lab PointNav PPO Training
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:Truera Trulens RAG With Guardrails
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:Datahub project Datahub Metadata Actions Pipeline
Principles
- Principle:Deepset ai Haystack Metadata Based Routing
- Principle:Datajuicer Data juicer QA Calibration
- Principle:Google deepmind Mujoco Physics Stepping
- Principle:Online ml River Imbalanced Learning
- Principle:Apache Hudi Docker Image Building
- Principle:Openai CLIP Top K Accuracy Evaluation
- Principle:Online ml River Online Nearest Neighbors
- Principle:Infiniflow Ragflow LLM Configuration
- Principle:Ggml org Llama cpp Input Provenance Tracking
- Principle:Liu00222 Open Prompt Injection Attacker Creation
Implementations
- Implementation:Apache Kafka CoordinatorRuntime OnMetadataUpdate
- Implementation:CARLA simulator Carla Python Map Bindings
- Implementation:Togethercomputer Together python Endpoints Resource
- Implementation:InternLM Lmdeploy GetEnv
- Implementation:Mlc ai Mlc llm Config Base
- Implementation:Ggml org Ggml Cpu riscv quants
- Implementation:Nightwatchjs Nightwatch Web Element Type Definitions
- Implementation:Ray project Ray Build Jar Multiplatform
- Implementation:Sail sg LongSpec Bulma Slider
- Implementation:Alibaba MNN FlatBuffers IDL Gen General
Heuristics
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:NVIDIA DALI Batch Size Tuning
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
Environments
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Huggingface Diffusers PyTorch CUDA Runtime