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ggzhang0071's Projects

factorized-tdnn icon factorized-tdnn

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

fantasia3d icon fantasia3d

(ICCV2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gdas icon gdas

PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

graph_nn icon graph_nn

Graph classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

hypernetworks icon hypernetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

icml17_knn icon icml17_knn

Deriving Neural Architectures from Sequence and Graph Kernels

ilearndeeplearning.py icon ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

infinigen icon infinigen

Infinite Photorealistic Worlds using Procedural Generation

itransformer icon itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

k-bert icon k-bert

Source code of K-BERT (AAAI2020)

kg-bert icon kg-bert

KG-BERT: BERT for Knowledge Graph Completion

l-dnq icon l-dnq

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

latent-nerf icon latent-nerf

Official Implementation for "Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures"

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