anjishnu

anjishnu's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k1.1k9.6k6.8k

• lllyasviel/style2paints

  sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

  Language:JavaScript18.1k5632142.1k

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.5k1433841k

• jarun/googler

  :mag: Google from the terminal

  Language:Python6.1k158221534

• claritylab/lucida

  Speech and Vision Based Intelligent Personal Assistant

  Language:Java4.8k379163879

• jsvine/waybackpack

  Download the entire Wayback Machine archive for a given URL.

  Language:Python2.9k6954191

• jisungk/deepjazz

  Deep learning driven jazz generation using Keras & Theano!

  Language:Python2.9k11018442

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.6k48166297

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k137200723

• dmlc/gluon-nlp

  NLP made easy

  Language:Python2.6k96534532

• vishnubob/python-midi

  Python MIDI library

  Language:C1.5k81137369

• o19s/elasticsearch-learning-to-rank

  Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

  Language:Java1.5k71267369

• brendenlake/omniglot

  Omniglot data set for one-shot learning

  Language:MATLAB1.4k450358

• awslabs/sockeye

  Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

  Language:Python1.2k50311323

• kimhc6028/relational-networks

  Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

  Language:Python8102524160

• ekampf/PySpark-Boilerplate

  A boilerplate for writing PySpark Jobs

  Language:Python396192156

• jirihnidek/daemon

  Simple example of daemon for Linux

  Language:C369212112

• kuza55/keras-extras

  Extra batteries for Keras

  Language:Python257172565

• ndg63276/alexa-youtube

  An Alexa skill to play the audio from YouTube videos

  24824139132

• MarcBS/keras

  Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

  Language:Python225184658

• chrischute/squad

  Starter code for Stanford CS224n default final project on SQuAD 2.0

  Language:Python18783216

• pandastrike/bayzee

  Text classification using Naive Bayes and Elasticsearch

  Language:Python15434418

• alexa/alexa-dataset-contextual-query-rewrite

  This repo includes extensions to the Stanford Dialogue Corpus. It contains crowd-sourced rewrites to facilitate research in dialogue state tracking using natural language as the interface.

  8912118

• therne/compact-bilinear-pooling-tf

  Compact Bilinear Pooling (https://arxiv.org/abs/1511.06062) for TensorFlow

  Language:C++477912

• kevinthesun/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++4201

• anjishnu/neural-hacker-typer

  A hacker typer module for the command line using state of the art neural language modeling models

  Language:Python2230

• anjishnu/autodiff

  Minimalist Library implementing automatic tensor differentiation for Numpy (e.g. in MxNet and PyTorch) in less than 200 lines of code. Good for anyone who wants to learn the concepts without wading through huge codebases.

  Language:Python1200

• anjishnu/bash-generics

  Generic utilities I've found useful for terminal operation

  Language:Shell120

• anjishnu/micro-LRU

  Algorithmically optimal LRU cache implementation in 70 lines of python

  Language:Python120