A Clojure high performance data processing system
created at Feb. 14, 2019, 5:07 p.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), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
created at Feb. 2, 2019, 5:51 a.m.
Production infrastructure for machine learning at scale
created at Jan. 24, 2019, 4:43 a.m.
Build neural networks with less boilerplate code
created at Jan. 21, 2019, 9:29 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 and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
created at Dec. 19, 2018, 8:24 a.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.
Examples of Machine Learning code using Comet.ml
created at Nov. 21, 2018, 6 p.m.
A simple and functional machine learning library for the Erlang ecosystem
created at Nov. 9, 2018, 11:44 p.m.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
created at Nov. 5, 2018, 12:58 p.m.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
created at Nov. 1, 2018, 4:34 a.m.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
created at Oct. 29, 2018, 1:56 p.m.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
created at Oct. 19, 2018, 9:02 a.m.