AmazaspShumik

AmazaspShumik's Stars

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python44.2k1.1k27.1k18.1k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• ossu/data-science

  📊 Path to a free self-taught education in Data Science!

  19.2k971583.5k

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k6354392.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4663304.2k

• google/deepdream

  13.2k89603.2k

• AHAAAAAAA/PokemonGo-Map

  🌏 Live visualization of all the pokemon in your area... and more! (shutdown)

  7.5k63602.8k

• amueller/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook7.5k3691494.6k

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k212407916

• microsoft/malmo

  Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

  Language:Java4.1k260711599

• sjchoi86/Tensorflow-101

  TensorFlow Tutorials

  Language:Jupyter Notebook2.6k1449748

• makeyourownneuralnetwork/makeyourownneuralnetwork

  Code for the Make Your Own Neural Network book

  Language:Jupyter Notebook2.4k145821.5k

• facebookresearch/darkforestGo

  DarkForest, the Facebook Go engine.

  Language:C2.1k14639325

• jdsutton/Technical-Interview-Megarepo

  Study materials for SE/CS technical interviews

  1.6k781230

• szagoruyko/wide-residual-networks

  3.8% and 18.3% on CIFAR-10 and CIFAR-100

  Language:Lua1.3k6052292

• cdoersch/vae_tutorial

  Caffe code to accompany my Tutorial on Variational Autoencoders

  Language:Python505258135

• vict0rsch/deep_learning

  Deep Learning Resources and Tutorials using Keras and Lasagne

  Language:Python4264018157

• dongwookim-ml/python-topic-model

  Implementation of various topic models

  Language:Jupyter Notebook3692915171

• pavelgonchar/neural-art-mini

  Lightweight version of mxnet neural art implementation

  Language:Python26510535

• sdemyanov/ConvNet

  Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

  Language:C++2403727141

• yosukekatada/Hopfield_network

  Hopfield Network implemented with Python

  Language:Python1026248

• kamperh/bayes_gmm

  Bayesian Gaussian mixture models in Python.

  Language:Python644122

• kifi/ReactiveLDA

  ReactiveLDA is a fast, lightweight implementation of the Latent Dirichlet Allocation (LDA) algorithm, using a parallel vanilla Gibbs sampling algorithm.

  Language:Scala6122112

• vsmolyakov/DP_means

  Dirichlet Process K-means

  Language:C++466115

• vsmolyakov/ml

  machine learning

  Language:MATLAB376012

• dongwookim-ml/topic-model-lecture-note

  lecture notes for probabilistic topic models using ipython notebook

  225017

• mrtzh/Ladder.jl

  A reliable leaderboard algorithm for machine learning competitions

  Language:Julia17213

• fwood/Bayesian-Nonparametric-Ontology-Learning

  Language:Java9503

• guyrt/MatlabPriorityQueue

  A Priority Queue written for Matlab

  7107

• lucastheis/trmix

  A trust-region method for stochastic variational inference in mixture models.

  Language:Python2202