ramananm Goto Github PK

ai_law

all kinds of baseline models for long text classificaiton( text categorization)

anime-recommendation-engine

creating a recommendation engine for anime based on model based collaborative filtering

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-deep-learning-papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-deep-vision-web-demo

A curated list of awesome deep vision web demo

awesome-neat-rnn

A precise to-read list for recurrent neural network (RNN).

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bgslibrary

A background subtraction library

bidirectiona-lstm-for-text-summarization-

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

cadence

Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.

chainer

A flexible framework of neural networks for deep learning

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn_vis

Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Inverting Them Paper: https://arxiv.org/pdf/1412.0035v1.pdf Learning FRAME Models Using CNN filters Project page: http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html Convergent Learning: Do different neural networks learn the same representations? Github: https://github.com/yixuanli/convergent_learning Torch-visbox https://github.com/Aysegul/torch-visbox Plot caffe models online http://ethereon.github.io/netscope/#/editor Grad-CAM: Gradient-weighted Class Activation Mapping https://github.com/ramprs/grad-cam/ Quiver: Interactive Feature Visualization for Keras https://github.com/jakebian/quiver CS231 Stanford notes on Visualization http://cs231n.github.io/understanding-cnn/

colornet

Neural Network to colorize grayscale images

computer-vision-algorithms

Toy/training implementations for classical computer vision algorithms. Not intended for productive use.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs224d_deeplearningfornlp

Deep Learning for Nature Language Processing at Standford

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs229_machinelearning_andrewng_coursera

Machine Learning from Andrew Ng at coursera.org with Standford

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n.github.io

Public facing notes page

cs231n_convolutional-neural-networks-for-visual-recognition

Convolutional Net for Computer Recognition at Standford: My Own Code

data-science-books

davian-tensorflow

tensorflow tutorial for beginner to intermediate

dcec

ddpg-tensorflow

DDPG on OpenAI Gym Pendulum

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)