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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:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:Mit han lab Llm awq AWQ Model Quantization
Principles
- Principle:Mlfoundations Open flamingo Model Initialization
- Principle:Heibaiying BigData Notes Hive Query Execution
- Principle:Microsoft Autogen Message Filtering
- Principle:AUTOMATIC1111 Stable diffusion webui Txt2img parameter configuration
- Principle:Langgenius Dify PluginArchitecture
- Principle:Scikit learn Scikit learn Manifold Learning
- Principle:Gretelai Gretel synthetics Synthetic Data Quality Evaluation
- Principle:SeleniumHQ Selenium Development Environment Setup
- Principle:Unslothai Unsloth RL Model Loading
- Principle:FlagOpen FlagEmbedding Long Video Understanding Evaluation
Implementations
- Implementation:Cypress io Cypress Mount Stub
- Implementation:TA Lib Ta lib python OHLC Input Pattern
- Implementation:Datajuicer Data juicer Job Monitor
- Implementation:Ray project Ray MetricConfig
- Implementation:Datajuicer Data juicer Quality Classifier Train
- Implementation:Triton inference server Server GenQaDynaSequenceModels
- Implementation:ARISE Initiative Robosuite JointPositionController
- Implementation:Alibaba MNN OpenCL CL Header
- Implementation:Romsto Speculative Decoding AutoModelForCausalLM From Pretrained
- Implementation:Huggingface Diffusers ModelMixin From Pretrained Frozen
Heuristics
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:Kubeflow Kubeflow Sequential Infrastructure Deployment
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:DevExpress Testcafe Concurrency Factor Limit
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Apache Hudi Data Skipping Limitations
Environments
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Sgl project Sglang Distributed
- Environment:Microsoft Agent framework Python 3 10 Runtime