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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:Cohere ai Cohere python Chat Completion
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
- Workflow:Neuml Txtai Semantic Search
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Avhz RustQuant Stochastic Process Simulation
Principles
- Principle:TobikoData Sqlmesh Development Environment Creation
- Principle:ClickHouse ClickHouse Streaming JSON Tokenization
- Principle:Microsoft Semantic kernel Process Framework Frontend
- Principle:Huggingface Datatrove Unigram Log Probability Filtering
- Principle:Shiyu coder Kronos Tokenizer Encoding
- Principle:ClickHouse ClickHouse Build Verification
- Principle:Fede1024 Rust rdkafka Mock Cluster Creation
- Principle:DataTalksClub Data engineering zoomcamp Streaming Data Model
- Principle:Sgl project Sglang Engine Initialization
- Principle:Ucbepic Docetl Pipeline Configuration
Implementations
- Implementation:Mlc ai Mlc llm Encoding
- Implementation:Spcl Graph of thoughts Selector Operation
- Implementation:BerriAI Litellm Completion
- Implementation:Evidentlyai Evidently Legacy UI Local Service
- Implementation:LMCache LMCache External Connector Adapter
- Implementation:Hpcaitech ColossalAI ColossalCloudLLM
- Implementation:Deepspeedai DeepSpeed GEMM Test
- Implementation:OpenGVLab InternVL Trainer Train
- Implementation:Huggingface Datatrove ParquetWriter
- Implementation:Ggml org Ggml Virtgpu command stream
Heuristics
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Alibaba ROLL Gradient Checkpointing Recomputation
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
Environments
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Apache Kafka Committer Tools Environment
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Langfuse Langfuse PostgreSQL 17