LA-MCTS is a new MCTS based derivative-free meta-solver. Compared to Bayesian optimization, and evolutionary algorithm, it learns to partition the search space, thereby 🌟 finding a better solution with fewer samples.
PyTSMod is a open-source library for Time-Scale Modification algorithms in Python 3. PyTSMod contains basic TSM algorithms such as Overlap-Add (OLA), Waveform-Similarity Overlap-Add (WSOLA), Time-Domain Pitch-Synchronous Overlap-A
SMARTS (Scalable Multi-Agent RL Training School) is a simulaton platform for reinforcement learning and multi-agent research on autonomous driving. Its focus is on realistic and diverse interactions. It is part of the XingTian sui
It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual firm characteristics and also uses “big-data” econometric methods.
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch. It includes memory slots, which are updated with attention, learned efficiently through Memory-Replay BackPropagation (MRBP) through time. The other contribu
tldrstory is a framework for AI-powered understanding of headlines and text content related to stories. tldrstory applies zero-shot labeling over text, which allows dynamically categorizing content. This framework also builds a tx
This is a simple and efficient differentiable rasterization-based renderer which has been used in several GVV publications. The implementation is free of most third-party libraries such as OpenGL. The core implementation is in CUD
The Fusion 360 Gallery Dataset contains rich 2D and 3D geometry data derived from parametric CAD models. The dataset is produced from designs submitted by users of the CAD package Autodesk Fusion 360 to the Autodesk Online Gallery