Stars
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Ready-to-run Docker images containing Jupyter applications
A collection of libraries to optimise AI model performances
The property-based testing library for Python
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Distributed Asynchronous Hyperparameter Optimization in Python
Efficiently computes derivatives of NumPy code.
Implementation of Graph Convolutional Networks in TensorFlow
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A Python scikit for building and analyzing recommender systems
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Simple Online Realtime Tracking with a Deep Association Metric
Voilà turns Jupyter notebooks into standalone web applications
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Simple, online, and realtime tracking of multiple objects in a video sequence.
Missing data visualization module for Python.
Deep Learning Tutorial notes and code. See the wiki for more info.
A light-weight, flexible, and expressive statistical data testing library