ClaudiaShu
PhD student the Centre for Artificial Intelligence (AI) in the Department of Computer Science at University College London (UCL)
University College LondonLondon
ClaudiaShu's Stars
sczhou/CodeFormer
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
googleapis/google-api-php-client
A PHP client library for accessing Google APIs
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
ridgerchu/matmulfreellm
Implementation for MatMul-free LM.
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
cvxopt/cvxopt
CVXOPT -- Python Software for Convex Optimization
locuslab/deq
[NeurIPS'19] Deep Equilibrium Models
microsoft/ClimaX
Foundation model for weather & climate
aleximmer/Laplace
Laplace approximations for Deep Learning.
google-research/weatherbench2
A benchmark for the next generation of data-driven global weather models.
patrick-kidger/torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
GradientSpaces/LoopSplat
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
rakshitha123/TSForecasting
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
transformer-vq/transformer_vq
ML4ITS/TimeVQVAE
[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]
lucidrains/taylor-series-linear-attention
Explorations into the recently proposed Taylor Series Linear Attention
Aalto-QuML/ClimODE
ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
mzaffran/AdaptiveConformalPredictionsTimeSeries
microsoft/subseasonal_data
Data access package for the SubseasonalClimateUSA dataset
tychovdo/lila
Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
ClaudiaShu/SSL-FER
[BMVC 2022] This is the official code of our Paper "Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition"
ClaudiaShu/DeformTime
This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting"
HiPerSimLab/PECANN
PECANNs: Physics and Equality Constrained Artificial Neural Networks
NVIDIA/Diversity-Sampling
GPU-accelerated algorithm for subsampling datasets while preserving diversity
geflaspohler/poold
Python library for Optimistic Online Learning under Delay
ClaudiaShu/UNA
This is the official code of our Paper "Unsupervised hard Negative Augmentation for contrastive learning"
ihounie/resilience