hieubkvn123's Stars
3b1b/manim
Animation engine for explanatory math videos
HIPS/autograd
Efficiently computes derivatives of NumPy code.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
szagoruyko/attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Eurus-Holmes/Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
facebookresearch/diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
sebp/scikit-survival
Survival analysis built on top of scikit-learn
seongjunyun/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
threedle/text2mesh
3D mesh stylization driven by a text input in PyTorch
Mcompetitions/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
BayesWatch/nas-without-training
Code for Neural Architecture Search without Training (ICML 2021)
threedle/GeoCode
GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.
twitter-research/graph-neural-pde
Graph Neural PDEs
jacobjinkelly/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
cv-lee/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
dmlc/GNNLens2
Visualization tool for Graph Neural Networks
titu1994/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
Rachnog/Neural-ODE-Experiments
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
janblechschmidt/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
leowyy/GraphTSNE
PyTorch Implementation of GraphTSNE, ICLR’19
dsrub/solutions_to_probability_statistics
dynaroars/dynaroars.github.io
Dynaroars Website
dcernst/IBL-IntroToProof
A textbook for the transition to proof course for mathematics majors utilizing IBL.
ReML-AI/MGTN
Modular Graph Transformer Networks
HyTruongSon/MGVAE
Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
hedixia/HeavyBallNODE
minhtannguyen/momentum-transformer-code-submission
Jessejx/TSNE-UMAP-Embedding-Visualisation
A Simple and easy to use way to Visualise Embeddings!