Examples of Machine Learning code using Comet.ml
created at Nov. 21, 2018, 6 p.m.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
created at Dec. 5, 2018, 4:04 p.m.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
created at Dec. 19, 2018, 8:24 a.m.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
created at Jan. 13, 2019, 2:32 a.m.
Build neural networks with less boilerplate code
created at Jan. 21, 2019, 9:29 a.m.
Production infrastructure for machine learning at scale
created at Jan. 24, 2019, 4:43 a.m.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
created at Feb. 2, 2019, 5:51 a.m.
A Clojure high performance data processing system
created at Feb. 14, 2019, 5:07 p.m.
Rust bindings for the C++ api of PyTorch.
created at Feb. 16, 2019, 9:08 p.m.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
created at Feb. 25, 2019, 3:21 a.m.
Segmentation models with pretrained backbones. PyTorch.
created at March 1, 2019, 4:21 p.m.
A fast Clojure Tensor & Deep Learning library
created at March 3, 2019, 1:09 p.m.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
created at March 26, 2019, 9:01 p.m.