MLOps
4 researchers · 3 papers · 5 projects · 5 builders
Researchers (4)
Papers (3)
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Data-Centric Artificial Intelligence: A Survey
Projects (5)
Snorkel AI
Data-centric AI platform. Write labeling functions instead of hand-labeling data. Used by Google, Apple, Intel, and government agencies.
by Alex Ratner
Weights & Biases
ML experiment tracking, model versioning, and dataset management. The MLOps platform used by OpenAI, DeepMind, and 500K+ ML practitioners.
by Lukas Biewald
Cleanlab
Open-source tool to find and fix label errors in datasets. Implements confident learning — automatically detects noisy labels in any ML dataset.
by Jeremy Nixon
DataRobot
Enterprise AutoML platform. Automates model building, deployment, and monitoring. Serves Fortune 500 companies from Boston headquarters.
by Jeremy Fiance
Run:ai
GPU orchestration platform for AI workloads. Fractional GPUs, dynamic scheduling, and cluster management. Acquired by NVIDIA in 2024.
by Abid Javed