Alternatives and similar repositories for CV_course_py:

Users that are interested in CV_course_py are comparing it to the libraries listed below

• pfnet-research / superpixel-align
  Official implementation of "Minimizing Supervision for Free-space Segmentation" paper
  ☆24Updated 6 years ago
• CSAILVision / ihog
  A tool to visualize feature spaces commonly used in object detection.
  ☆17Updated 10 years ago
• pavelgonchar / PatchesNet
  Carvana Boundaries Refinement
  ☆7Updated 7 years ago
• vahagnIV / tf_calib
  Tensorflow camera calibrator
  ☆14Updated 4 years ago
• verlab / SceneUnderstanding_CIARP_2017
  ☆12Updated 7 years ago
• NikolasEnt / Lyft-Perception-Challenge
  The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
  ☆68Updated 6 years ago
• jcjohnson / ProjectEuler
  ☆11Updated 10 years ago
• tymokvo / pt-styletransfer
  Neural style transfer as a class in PyTorch
  ☆35Updated 8 years ago
• nrupatunga / GIST-global-Image-Descripor
  GIST-Global Image Descriptor
  ☆19Updated 4 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 4 years ago
• wkentaro / logboard
  logboard: Monitor and Compare Logs on Browser/Terminal.
  ☆21Updated 5 years ago
• CYHSM / carnd
  Code and Solutions from the Self-Driving Car course from Udacity
  ☆16Updated 7 years ago
• jingweiz / pytorch-trick-or-treat
  Use pytorch the right way http://pytorch.org/docs/
  ☆14Updated 7 years ago
• vsmolyakov / cpp
  algorithms in c++
  ☆45Updated 4 years ago
• cvjena / aid
  Automatic Query Image Disambiguation (AID)
  ☆11Updated 7 years ago
• madratman / research_resources
  A repo containing links of various tutorials, courses, and papers I've read at some point of time.
  ☆7Updated 7 years ago
• lukemetz / Neural-Net-Experiments
  A GPU / CPU implementation of a feed forward neural network
  ☆31Updated 10 years ago
• drivendataorg / n-plus-one-fish
  Winning models for the N+1 Fish, N+2 Fish competition.
  ☆20Updated last year
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 9 years ago
• pjreddie / vision-hw4
  Implement neural networks and run them on MNIST
  ☆31Updated 6 years ago
• Roboauto / Udacity3
  ☆11Updated 8 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 8 years ago
• shiyangdaisy23 / vqa-mxnet-gluon
  ☆16Updated 7 years ago
• pjreddie / vision-hw3
  Optical flow
  ☆45Updated 6 years ago
• ashwin / fasthog
  FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04
  ☆20Updated 11 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆12Updated 6 years ago
• pyaf / parallel_mAP_evaluation
  This repo parallelizes mAP_evaluation using python's multiprocessing module.
  ☆18Updated 3 years ago
• amrmorsey / Latte
  Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Wi…
  ☆13Updated 6 years ago
• toshi-k / kaggle-google-landmark-retrieval-challenge
  17th place solution in "Google Landmark Retrieval Challenge"
  ☆6Updated 5 years ago