Pinned Repositories
annotated-transformer
An annotated implementation of the Transformer paper.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
collaborative-editor
A collaborative editor that supports authorship display, image uploading placeholder and CJK characters composition based on Quill and ShareDB.
computer_expert_paper
1000+份计算机paper，卡耐基梅隆大学，哈佛，斯坦福，芝加哥大学，MIT，facebook，google，微软，Amazon，twitter等大牛一作，持续更新中
Cxx_HOPL4_zh
Chinese translation of Bjarne Stroustrup's HOPL4 paper
dl4math
Resources of deep learning for mathematical reasoning (DL4MATH).
every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
FAoC-tool
The nncontroller tool package with FAoC S.I. submission
HSCC20-Repeatability
Repeatability Evaluation Package for HSCC2020 accepted paper No. 72
zhaohj2017's Repositories
zhaohj2017/FAoC-tool
The nncontroller tool package with FAoC S.I. submission
zhaohj2017/HSCC20-Repeatability
Repeatability Evaluation Package for HSCC2020 accepted paper No. 72
zhaohj2017/annotated-transformer
An annotated implementation of the Transformer paper.
zhaohj2017/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
zhaohj2017/collaborative-editor
A collaborative editor that supports authorship display, image uploading placeholder and CJK characters composition based on Quill and ShareDB.
zhaohj2017/computer_expert_paper
1000+份计算机paper，卡耐基梅隆大学，哈佛，斯坦福，芝加哥大学，MIT，facebook，google，微软，Amazon，twitter等大牛一作，持续更新中
zhaohj2017/Cxx_HOPL4_zh
Chinese translation of Bjarne Stroustrup's HOPL4 paper
zhaohj2017/dl4math
Resources of deep learning for mathematical reasoning (DL4MATH).
zhaohj2017/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
zhaohj2017/gan
python notebooks accompanying the book Make Your Own GAN
zhaohj2017/IntroToRNNs
An introduction to RNNs
zhaohj2017/Neural-Symbolic-and-Probabilistic-Logic-Papers
A curated paper list on neural symbolic and probabilistic logic.
zhaohj2017/nnreach-nsfc
A neural network application for engineering
zhaohj2017/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
zhaohj2017/ntptutorial
Tutorial on neural theorem proving
zhaohj2017/proj28-3RMM
一个可靠、健壮、实时的内存分配器，支持内存冗余，抗单粒子翻转。
zhaohj2017/rare-event-simulation-normalizing-flows
zhaohj2017/RL-Course
zhaohj2017/RNN-from-scratch
Basic RNN implementation
zhaohj2017/RNN-Implementation-using-NumPy
RNN-Implementation-using-NumPy
zhaohj2017/SymbolicMathematics
Deep Learning for Symbolic Mathematics
zhaohj2017/torch-rnn
Efficient, reusable RNNs and LSTMs for torch
zhaohj2017/transformer-from-scratch
Simple transformer implementation from scratch in pytorch.
zhaohj2017/turtlebot3_ddpg_collision_avoidance
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
zhaohj2017/uthread
一个简单的用户级线程库
zhaohj2017/verse
Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020