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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:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Lance format Lance Full Text Search
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
Principles
- Principle:Interpretml Interpret SHAP Tree Explanation
- Principle:LLMBook zh LLMBook zh github io Causal LM Model Initialization
- Principle:Lance format Lance Version Cleanup
- Principle:Webdriverio Webdriverio Singleton Pattern
- Principle:Wandb Weave Prompt Versioning
- Principle:DistrictDataLabs Yellowbrick Knee Point Detection
- Principle:Dagster io Dagster Dynamic Partitioning
- Principle:Recommenders team Recommenders ALS Matrix Factorization
- Principle:Helicone Helicone Plan Upgrade
- Principle:TobikoData Sqlmesh Plan Creation And Change Detection
Implementations
- Implementation:Ggml org Ggml Cpu powerpc quants
- Implementation:Treeverse LakeFS S3 Path Convention
- Implementation:Run llama Llama index BatchEvalRunner Evaluate Queries
- Implementation:Huggingface Diffusers DreamBooth Args
- Implementation:Webdriverio Webdriverio EnvDetector
- Implementation:PrefectHQ Prefect Parse Article Task
- Implementation:Treeverse LakeFS Java SDK Model HookRun
- Implementation:Farama Foundation Gymnasium CartPoleFunctional
- Implementation:TA Lib Ta lib python Version Selection Guide
- Implementation:Openai Openai python Response Stream Event
Heuristics
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:VainF Torch Pruning Channel Rounding Alignment
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
Environments
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Intel Ipex llm NPU Environment
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:Tensorflow Serving Docker Runtime Environment