Alternatives and similar repositories for Deep-Learning-Algorithms-Implementation:

Users that are interested in Deep-Learning-Algorithms-Implementation are comparing it to the libraries listed below

• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 6 years ago
• sayakpaul / ML-Bootcamp-Launchpad
  Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.
  ☆52Updated 5 years ago
• TWIML / RL_Study_Group
  ☆10Updated 4 years ago
• dikshant2210 / SS19
  ☆18Updated 5 years ago
• Puneet2000 / In-Depth-ML
  In depth machine learning resources
  ☆39Updated 6 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 5 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 5 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆133Updated 4 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆135Updated 5 years ago
• akcarsten / spike_sorting
  Python implementation of signal processing techniques and K-means clustering to sort spikes.
  ☆82Updated 5 years ago
• brendenlake / archive-CCM-site
  NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
  ☆203Updated last year
• AyushExel / Neo
  Deep learning library in python from scratch
  ☆44Updated 2 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 4 years ago
• hse-aml / hadron-collider-machine-learning
  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
  ☆95Updated 5 years ago
• brohrer / what_nns_learn
  Simulations to illustrate what neural networks learn.
  ☆14Updated 4 years ago
• markroxor / fromscratchtoml
  The machine learning library you really understand.
  ☆31Updated last year
• omarsar / mri-analysis-pytorch
  MRI analysis using PyTorch and MedicalTorch
  ☆64Updated 6 years ago
• the-full-stack / fsdl-text-recognizer
  Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
  ☆58Updated 2 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆86Updated 7 years ago
• sauravk90 / ML-Model-Flask-Deployment
  Demo project to show how Machine Learn Models are deployed on production using Flask API
  ☆29Updated 5 years ago
• shaz13 / resume
  My resume
  ☆13Updated 3 years ago
• shubham14 / Deep-Learning-Pytorch
  A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
  ☆58Updated 2 years ago
• parneetk / Neural-Networks-in-Keras
  ☆29Updated 7 years ago
• jayinai / kaggle-image
  A compiled list of kaggle competitions and their winning solutions for image problems.
  ☆54Updated 8 years ago
• jldbc / numpy_neural_net
  A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy
  ☆29Updated 8 years ago
• llSourcell / The-Neural-Qubit
  This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval
  ☆1Updated last month
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 5 years ago
• rajat5ranjan / AV-Innoplexus-Online-Hiring-Hackathon-Sentiment-Analysis
  Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
  ☆11Updated 5 years ago
• juanigp / Pytorch-Deep-Dream
  A Pytorch Deep Dream Implementation
  ☆88Updated 4 years ago