bragilee

bragilee's Stars

• d3/d3

  Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

  Language:Shell110k3.6k2.2k22.9k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python86.1k1.8k48.3k23.2k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.6k6251798.2k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.2k343312.3k

• PRML/PRMLT

  Matlab code of machine learning algorithms in book PRML

  Language:MATLAB6k404302.2k

• ryanjay0/miles-deep

  Deep Learning Porn Video Classifier/Editor with Caffe

  Language:C++2.6k17428284

• yjxiong/temporal-segment-networks

  Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

  Language:Python1.5k42283475

• torch/nn

  Language:Lua1.3k109476962

• mila-iqia/welcome_tutorials

  Various tutorials given for welcoming new students at MILA.

  Language:Jupyter Notebook985600210

• jeffreyyihuang/two-stream-action-recognition

  Using two stream architecture to implement a classic action recognition method on UCF101 dataset

  Language:Python8652281249

• torch/tutorials

  A series of machine learning tutorials for Torch7

  Language:Jupyter Notebook6235546312

• sunshineatnoon/Paper-Implementations

  Use PyTorch to implement some classic frameworks

  Language:Python619247196

• bryanyzhu/two-stream-pytorch

  PyTorch implementation of two-stream networks for video action recognition

  Language:Python5711754148

• znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN

  Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

  Language:Python5212012144

• ankurhanda/gvnn

  gvnn: Geometric Vision with Neural Networks

  Language:Lua446512671

• chihyaoma/Activity-Recognition-with-CNN-and-RNN

  Temporal Segments LSTM and Temporal-Inception for Activity Recognition

  Language:Lua4402629147

• soumith/imagenet-multiGPU.torch

  an imagenet example in torch.

  Language:Lua4023775158

• torch/cutorch

  A CUDA backend for Torch7

  Language:Cuda33839452207

• facebookarchive/fbnn

  Facebook's extensions to torch/nn.

  Language:Lua28232057

• rohitgirdhar/AttentionalPoolingAction

  Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

  Language:Python259153263

• rohitgirdhar/ActionVLAD

  ActionVLAD for video action classification (CVPR 2017)

  Language:Python216113861

• torch/cunn

  Language:Cuda21534169174

• bryanyzhu/Hidden-Two-Stream

  Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

  Language:C++195174568

• hochthom/kaggle-taxi-ii

  Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle

  Language:Python485129

• talhasaruhan/video-action-classification

  Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561

  Language:Python23158

• niaokedaoren/Coursera_c2cpp

  Homework code of C++ For C Programmers on Coursera. The course website is https://class.coursera.org/cplusplus4c-002/class/index

  1933

• LightR0/New-York-City-Taxi-Trip-Duration

  Kaggle比赛New-York-City-Taxi-Trip-Duration方案

  Language:Python7103

• Currie32/NYC-Taxi-Trip-Duration

  My work for Kaggle's "New York City Taxi Trip Duration" competition

  Language:Jupyter Notebook5209

• sksq96/dcgan

  A PyTorch implementation of "Deep Convolutional Generative Adversarial Networks" with Multiple Discriminator.

  Language:HTML5303

• jeffreyyihuang/the-art-of-command-line

  Master the command line, in one page

  2100