Researcher, interested in Computational Biology, and 3D Computer Vision.
kitti_object_vis. KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
1.2kawesome-cryoem. A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.
1593d-deep-learning. 3D Deep Learning works
142alphafold. Install alphafold on the local machine, get out of docker.
103Linear-Multihead-Attention. Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
76PrismNet. Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
693ddensenet.torch. 3D DenseNet(torch version) for ModelNet40 dataset
45keras_multi_gpu. Multi-GPU training for Keras
44VRmol. VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure
36pytorch_online_plotter. Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
17MiniBatchSVM. Mini-batch SVM / Logistic Regresion, Online learning for large scale data.
6DeepCryo. Deep learning based methods for Cryo-EM density map
5frustum-pointnets. Frustum PointNets for 3D Object Detection from RGB-D Data
3kuixu.github.io. my page
3thu_vpn_linux. Tsinghua Univ. VPN ( Linux version )
3ResMap. ResMap, Compute the local resolution of 3D density maps, (support python3 and maps in variant shape)
3StatisticsLearning-JunZhu. Statistics Learning Course by JunZhu
3cryofold. Protein complex structure determination by structure prediction with cryo-EM density map constraints
3multiGPUtask. Submit Multi-GPU Tasks in a queue with shell scripts based on NVIDIA-SMI.
2conference-paper. Conference paper list and word count
2StatisticalInference. Statistical Inference Course and Homework
2deeplearningbook-chinese. Ian Goodfellow, Yoshua Bengio and Aaron Courville Deep Learing Book Chinese Translation
2xmail. Command line email tool, notify tool, very easy-to-use. Perl and Bash shell version provide.
2PyTorchZeroToAll. Python
1data-science-at-the-command-line. Data Science at the Command Line
1swalign. Automatically exported from code.google.com/p/swalign
1dl-torch. Lua
1SLIC-CryoEM. CryoEM density map Segmentation
1dl-docker-cpu. An CPU version all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Keras, Lasagne, Torch, Caffe, etc.)
1label-tomo. Label tomography images and plot
1dl-setup. Instructions for setting up the software on your deep learning machine
1Machine_Learning_Yearning. Machine_Learning_Yearning By Andrew Ng
1oh-my-ubuntu. oh-my-ubuntu
112l-mbi. Automatically exported from code.google.com/p/12l-mbi
1learning-bioinfo. Learning Bioinformatics weekly
1wgan.torch. Lua
1hisat. Fast spliced aligner with low memory requirements
1mrcfile. Python
1meituan. Parse meituan comment with picture.
1CountCys. Count the number of Cys in a series of fasta formatted protein sequences
1google-interview-university. A complete daily plan for studying to become a Google software engineer.
1Concu. Concu : Concurrent to run optionally numbers of commamdline.
1parseprobe. Automatically Parse Stellaris® Probe Designer Data using Javascript code.
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