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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:Farama Foundation Gymnasium Policy Gradient Training
- Workflow:Fede1024 Rust rdkafka Transactional Produce Consume
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Mistralai Client python Function Calling
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
- Workflow:Openai Evals Building a custom eval
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:Dagster io Dagster ETL Pipeline
Principles
- Principle:Open compass VLMEvalKit Video Inference Orchestration
- Principle:Online ml River Imbalanced Learning
- Principle:Huggingface Transformers Model Loading For Training
- Principle:NVIDIA NeMo Curator File Partitioning
- Principle:Microsoft LoRA Distributed LoRA Training
- Principle:Heibaiying BigData Notes Hive Query Execution
- Principle:Facebookresearch Audiocraft Audio Token Decoding
- Principle:Datajuicer Data juicer Data Grouping
- Principle:Infiniflow Ragflow Agent Creation
- Principle:Sktime Pytorch forecasting Hyperparameter Optimization
Implementations
- Implementation:Open compass VLMEvalKit MMHelix Kukurasu Eval
- Implementation:Apache Shardingsphere VersionPersistService SwitchActiveVersion
- Implementation:Huggingface Datasets Dill Pickler
- Implementation:Apache Druid ExecutionSubmitDialog
- Implementation:Open compass VLMEvalKit MiniCPM V
- Implementation:Dagster io Dagster Config Class
- Implementation:Tensorflow Serving Server Request Interface
- Implementation:Microsoft Playwright CookieStore
- Implementation:Langgenius Dify UseAsyncWindowOpen
- Implementation:Cohere ai Cohere python ToolCall Model
Heuristics
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:Lance format Lance Warning Deprecated Java APIs
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:LLMBook zh LLMBook zh github io Greedy Decoding Temperature Zero
- Heuristic:Apache Beam Thread Pool Parallelism Sizing
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Roboflow Rf detr Batch Size Memory Tradeoff
Environments
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Togethercomputer Together python API Credentials
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Ray project Ray Java Build Environment
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration