Alternatives and similar repositories for rgz_rcnn:

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

• SpaceML / GalaxyGAN_python
  This project is the implementation of "Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the de…
  ☆83Updated 6 years ago
• mirapy-org / mirapy
  MiraPy: A Python package for Deep Learning in Astronomy
  ☆44Updated 4 years ago
• SpaceML / GalaxyGAN
  ☆22Updated 7 years ago
• msalvaris / DaskMaskRCNN
  Running Mask-RCNN on Dask with PyTorch
  ☆27Updated 5 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 6 years ago
• dsgiitr / Visualizing-Loss-Functions
  ☆37Updated 7 years ago
• radekosmulski / machine_learning_notebooks
  ☆27Updated 6 years ago
• JohannesBuchner / LSST-PLAsTiCC-classification-solution
  Solution to LSST-PLAsTiCC photometric transient classification challenge
  ☆18Updated 6 years ago
• edwardjkim / dl4astro
  Star-galaxy Classification Using Deep Convolutional Neural Networks
  ☆33Updated 8 years ago
• HEPTrkX / heptrkx-ctd
  heptrkx-ctd
  ☆18Updated 7 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆16Updated 4 years ago
• kechan / FastaiPlayground
  All notebook for FastAI learning purposes.
  ☆15Updated 5 years ago
• emmanuelle / image-processing-tutorials
  ☆30Updated 7 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 7 years ago
• iamaaditya / VQA_Keras
  Modular and Simple approach to VQA in Keras
  ☆21Updated 7 years ago
• drivendataorg / n-plus-one-fish
  Winning models for the N+1 Fish, N+2 Fish competition.
  ☆20Updated last year
• nperraud / 3DcosmoGAN
  ☆14Updated last year
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆107Updated 9 months ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• n-waves / examples
  ☆13Updated 5 years ago
• matplotlib / matplotblog
  Matplotlib blog
  ☆37Updated 3 years ago
• hasibzunair / unconventional-wisdom
  [ICBSLP'2018] 6th place solution to Kaggle Bengali Handwritten Higit Recognition
  ☆18Updated 5 years ago
• Erotemic / netharn
  Parameterized fit and prediction harnesses for pytorch
  ☆39Updated 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
• ZFTurbo / DrivenData-Identify-Fish-Challenge-2nd-Place-Solution
  Solution for N+1 fish, N+2 fish DrivenData competition (2nd place)
  ☆13Updated 5 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• titu1994 / tf_star_rnn
  Tensorflow 2.0 implementation of STAR RNN
  ☆10Updated 4 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• Justin-Tan / entropy-sgd-tf
  TensorFlow implementation of entropy SGD
  ☆11Updated 6 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago