huiwong96 Goto Github PK
Name: hui wong
Type: User
hui wong's Projects
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
bash-tutorial
Bash 教程
bayesian-neural-networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
cpp17
本书为《C++17 the complete guide》的个人中文翻译，仅供学习和交流使用，侵删
deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
deeplearningexamples
Deep Learning Examples
distributed-pytorch
Distributed, mixed-precision training with PyTorch
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.
hebo
Bayesian optimisation library developped by Huawei Noah's Ark Library
implicit-variational-inference
The collection of recent papers about variational inference
iwhvi
Code accompanying the Importance Weighted Hierarchical Variational Inference (NeurIPS 2019) paper
kkndme_tianya
天涯 kkndme 神贴聊房价
latex_ocr_pro
数学公式识别，增强：中文公式、手写公式
leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
linux_c_all_in_one
Linux C 编程一站式学习 宋劲杉 北京亚嵌教育研究中心
mine-mutual-information-neural-estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
mmcv
OpenMMLab Computer Vision Foundation
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly
normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
notion-scholar
Reference management solution using Python and Notion.
nvae
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
python3-cookbook
《Python Cookbook》 3rd Edition Translation
resizeright
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
stable-diffusion
A latent text-to-image diffusion model
tinywebserver
Linux下C++轻量级Web服务器 && A C++ Lightweight WebServer under Linux
unlikelihood_training
Neural Text Generation with Unlikelihood Training
xlm
PyTorch original implementation of Cross-lingual Language Model Pretraining.
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