A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
OpenMMLab optical flow toolbox and benchmark
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.