This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Home of StarCoder: fine-tuning & inference!
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Implementations of the machine learning algorithm with Python and numpy
Tensorflow experimentation sandbox. VGG, ResNet, Inception V3, Inception V4, Inception-Resnet-V2 ...
A library to train, evaluate, interpret, and productionize decision forest models such as Random ...
R-FCN with joint training and python support
Deep Feature Flow for Video Recognition
Keras implementation of RetinaNet object detection.
Python package for the GenSVM classifier
Semantic Image Synthesis with SPADE
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mas...
Generative Models by Stability AI
CodeAssist is an advanced code completion tool that provides high-quality code completions for Py...