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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:Shiyu coder Kronos Batch Prediction
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:Predibase Lorax Structured JSON Output
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
Principles
- Principle:Alibaba MNN Dynamic Quantization
- Principle:Openclaw Openclaw Diagnostic Repair
- Principle:Bentoml BentoML API Endpoint Definition
- Principle:OpenRLHF OpenRLHF Unpaired Preference Dataset Construction
- Principle:Sktime Pytorch forecasting Baseline Forecasting
- Principle:Kornia Kornia Augmentation Transforms
- Principle:Huggingface Diffusers Quantized Inference
- Principle:LLMBook zh LLMBook zh github io Deduplication
- Principle:NVIDIA NeMo Aligner KTO Training
- Principle:Huggingface Open r1 Benchmark Evaluation
Implementations
- Implementation:Axolotl ai cloud Axolotl Merge Fsdp Weights
- Implementation:Neuml Txtai Embeddings Index For RAG
- Implementation:Infiniflow Ragflow UseFileRequest Hooks
- Implementation:OpenGVLab InternVL ModelArguments DataTrainingArguments
- Implementation:CrewAIInc CrewAI MCP Server Adapter
- Implementation:Vllm project Vllm CPU MLA Decode
- Implementation:Elevenlabs Elevenlabs python PromptAgentApiModelInput
- Implementation:Datajuicer Data juicer CleanEmailMapper
- Implementation:Elevenlabs Elevenlabs python WebhookToolConfigOutput
- Implementation:Farama Foundation Gymnasium CartPoleEnv
Heuristics
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:Truera Trulens Feedback Score Thresholds
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:Treeverse LakeFS Action Cache Wait Tip
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
Environments
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:DevExpress Testcafe Chrome Browser
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Microsoft Autogen Studio Server Environment