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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:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:OpenRLHF OpenRLHF Iterative DPO
- Workflow:Huggingface Trl Reward Model Training
- Workflow:Wandb Weave SDK Release
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:CARLA simulator Carla Simulation Recording and Replay
- Workflow:Huggingface Datasets Format Conversion
Principles
- Principle:Treeverse LakeFS S3 Data Reading
- Principle:AUTOMATIC1111 Stable diffusion webui Environment Setup
- Principle:Datahub project Datahub Spark Event Interception
- Principle:Haosulab ManiSkill Rotation Geometry Operations
- Principle:Protectai Llm guard Code Snippet Detection
- Principle:ClickHouse ClickHouse Third Party Dependency Management
- Principle:Triton inference server Server Engine Validation
- Principle:Pyro ppl Pyro Conjugate Bayesian Updates
- Principle:EvolvingLMMs Lab Lmms eval HTTP API Model Serving
- Principle:Apache Beam Windmill Connection Setup
Implementations
- Implementation:Vibrantlabsai Ragas MultiModalRelevance
- Implementation:Trailofbits Fickling Run Benchmark
- Implementation:Mlfoundations Open flamingo Save checkpoint
- Implementation:EvolvingLMMs Lab Lmms eval Evaluate Endpoint
- Implementation:Huggingface Datatrove ExactDedupSignature
- Implementation:Openai Openai python Realtime Error Event
- Implementation:Google deepmind Mujoco mj forward
- Implementation:Pola rs Polars Fold and Horizontal Ops
- Implementation:Alibaba MNN Compression Decision Matrix
- Implementation:Infiniflow Ragflow LinkDataPipelineModal Component
Heuristics
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Danijar Dreamerv3 Adaptive Gradient Clipping
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:OpenRLHF OpenRLHF Packing Samples Efficiency Tip
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Kornia Kornia Avoid Inplace Ops Compile
Environments
- Environment:Vllm project Vllm CUDA Runtime
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:OpenRLHF OpenRLHF vLLM Environment