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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:Turboderp org Exllamav2 Interactive Chat
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Shiyu coder Kronos Batch Prediction
- Workflow:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Lm sys FastChat ShareGPT Data Pipeline
Principles
- Principle:Protectai Llm guard URL Reachability Validation
- Principle:Infiniflow Ragflow Deployment Prerequisites
- Principle:Duckdb Duckdb Regression Analysis And Reporting
- Principle:NVIDIA DALI Image Normalization
- Principle:Mit han lab Llm awq NVILA Multimodal Architecture
- Principle:OWASP Www project top 10 for large language model applications Supplemental Content Translation
- Principle:Mbzuai oryx Awesome LLM Post training Keyword Data Loading
- Principle:Pytorch Serve Streaming Cloud Inference
- Principle:Langgenius Dify Observability
- Principle:Datahub project Datahub SDK Dependency Management
Implementations
- Implementation:Speechbrain Speechbrain Train Voicebank MTL
- Implementation:EvolvingLMMs Lab Lmms eval OVOBench Utils
- Implementation:ContextualAI HALOs LM Eval CLI
- Implementation:Eventual Inc Daft DataFrame Explain
- Implementation:Risingwavelabs Risingwave Cluster Page
- Implementation:InternLM Lmdeploy SamplingPenaltyKernels
- Implementation:Sktime Pytorch forecasting TiDE V2
- Implementation:Haosulab ManiSkill ObservationUtils
- Implementation:Lance format Lance LegacyBasicEncoding
- Implementation:BerriAI Litellm Vector Stores API
Heuristics
- Heuristic:NVIDIA NeMo Curator Video Frame Sampling Strategy
- Heuristic:Confident ai Deepeval Secret Management Best Practices
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Nautechsystems Nautilus trader Streaming Mode For Large Backtests
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
Environments
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Vllm project Vllm Benchmarks
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Apache Kafka Gradle Build Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:Risingwavelabs Risingwave Java Connector Environment