RID
TUMFTM
Roof Information Dataset for CV-Based Photovoltaic Potential Assessment
Train, evaluate, and run machine learning models.
TUMFTM
Roof Information Dataset for CV-Based Photovoltaic Potential Assessment
tunakasif
PyTorch implementation of the fractional Fourier transform with trainable transform order.
TuringQ

DeepQuantum for quantum computing
turtlesoupy
This Word Does Not Exist
tusen-ai
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
TuSimple
Understanding Convolution for Semantic Segmentation
twhui
twjiang
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
twsl
The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends
txsun1997
TylerYep
View model summaries in PyTorch!
tysam-code
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
UBC-MDS
Public documents for the Master of Data Science program at the University of British Columbia
UBC-NLP
uber-research
Deep Neuroevolution
uber-research
uber-research
UPSNet: A Unified Panoptic Segmentation Network
uber
Uplift modeling and causal inference with machine learning algorithms
uber
uber
A uniform interface to run deep learning models from multiple frameworks
uber
uber
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
ubicomplab
ucaiado
Learning to trade under the reinforcement learning framework