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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:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Openai Openai python Audio Processing
- Workflow:Neuml Txtai Pipeline Workflow Chaining
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Snorkel team Snorkel Data Augmentation
Principles
- Principle:Protectai Llm guard Input Scanner Factory Pattern
- Principle:EvolvingLMMs Lab Lmms eval Registry Registration
- Principle:TA Lib Ta lib python DataFrame Integration
- Principle:Zai org CogVideo SAT Video Decoding and Export
- Principle:NVIDIA TransformerEngine Gemma Weight Loading
- Principle:Spcl Graph of thoughts Language Model Abstraction
- Principle:OpenRLHF OpenRLHF Pairwise Ranking Loss
- Principle:Online ml River Built In Datasets
- Principle:Triton inference server Server Protocol Endpoint Testing
- Principle:Huggingface Trl Reward Model Training
Implementations
- Implementation:CARLA simulator Carla ImageIOConfig
- Implementation:Recommenders team Recommenders PySpark ALS
- Implementation:Open compass VLMEvalKit InsightV
- Implementation:Alibaba ROLL MegatronTrainStrategy Train Step
- Implementation:Huggingface Transformers Pip Install Transformers
- Implementation:DevExpress Testcafe TestRunBookmark
- Implementation:Alibaba MNN Protobuf Reflection H
- Implementation:Ggml org Ggml Gpt sample top k top p
- Implementation:Farama Foundation Gymnasium FuncEnv
- Implementation:Lance format Lance Dataset Restore
Heuristics
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
- Heuristic:Trailofbits Fickling Severity Threshold Selection
- Heuristic:Fastai Fastbook Progressive Resizing
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:DevExpress Testcafe Docker Chrome Tab Retry
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:ThreeSR Awesome Inference Time Scaling Duplicate Detection By Title
Environments
- Environment:Vllm project Vllm ROCm
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Cypress io Cypress Linux Display Server
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Bentoml BentoML Triton Inference Server
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Truera Trulens Python Core Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU