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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 |
Explore Pages
Workflows
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Wandb Weave LLM Integration Tracing
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:Lance format Lance Table Optimization
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:Unslothai Unsloth Model Export And Deployment
- Workflow:Lm sys FastChat LoRA QLoRA Finetuning
Principles
- Principle:Openai Openai node Parsed API Invocation
- Principle:Gretelai Gretel synthetics Timeseries Data Generation
- Principle:NVIDIA TransformerEngine Fused Attention
- Principle:Togethercomputer Together python LLM Evaluation
- Principle:HKUDS AI Trader Frontend Portfolio Display
- Principle:Scikit learn Scikit learn Anomaly Detection
- Principle:Datajuicer Data juicer Operator Instantiation
- Principle:Eventual Inc Daft Table Listing
- Principle:Neuml Txtai Content Indexing
- Principle:Bentoml BentoML Cloud Endpoint Invocation
Implementations
- Implementation:Iamhankai Forest of Thought Init Numbers
- Implementation:Run llama Llama index LLM Callbacks
- Implementation:Ggml org Llama cpp Common Speculative Draft
- Implementation:Online ml River Tree Splitter NominalReg
- Implementation:Openai Openai python Eval List Response
- Implementation:Webdriverio Webdriverio Shim
- Implementation:CarperAI Trlx PromptPipeline
- Implementation:Scikit learn Scikit learn MDS
- Implementation:InternLM Lmdeploy Benchmark Serving
- Implementation:Apache Flink Web Dashboard Package Lock
Heuristics
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Obss Sahi Class Agnostic vs Per Class NMS
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
Environments
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:Nautechsystems Nautilus trader Binance API Credentials
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Huggingface Datasets Search Dependencies
- Environment:Microsoft BIPIA Python CUDA GPU Environment
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:Vllm project Vllm Environment Variables