iamsiva11

Allthings-MachineLearning

Python Machine learning guide

beam-python

Apache beam python - learning repo

Deeplearning-PlayBook

[Work in Progresss] Deep learning Playbook - Practical Deep learning Strategies, techniques.

DLNLP-papernotes

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

FlowersImage-Classifer

Multi Class Image Classifier to classify 5 types of flower with the tensor flow(Py) and keras(Theano Backend)

HyperColumns

Iris-DeepLearn

Classification of flower species with the classic Iris dataset.

Logos-Classify

Deep learning Logo,Brand Classification/Detection with 3 class of logos (Adidas,Puma,Nike) using Tensorflow

Machine-Learning-University

[Work in Progresss] Become so good in machine learning - a complete machine learning study plan to become a Machine learning rockstar (and a ML engineer).

Seq2Seq-PyTorch

Extend/Passing extra source tokens to seq2seq encoder (PyTorch)

iamsiva11/DLNLP-papernotes

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

iamsiva11/HyperColumns

iamsiva11/MLfromScratch

Implementing Machine Learning concepts, algorithms from scratch - to deepen my ML knowledge.

iamsiva11/PySpark-learn

Work, experiments , learning with Pyspark <3 !

iamsiva11/yolo-keras

YOLO training with Pascal VOC dataset.

iamsiva11/Deeplearning-PlayBook

[Work in Progresss] Deep learning Playbook - Practical Deep learning Strategies, techniques.

iamsiva11/Machine-Learning-University

[Work in Progresss] Become so good in machine learning - a complete machine learning study plan to become a Machine learning rockstar (and a ML engineer).

iamsiva11/Seq2Seq-PyTorch

Extend/Passing extra source tokens to seq2seq encoder (PyTorch)

iamsiva11/Disaster-whatsapp-bot

A whatsapp bot which helps bridge communication for basic necessities during a crisis/disaster. [Developed during a hackathon]

iamsiva11/DLCV-Detection

Object detection - deep learning computer vision approaches.

iamsiva11/FCN-Fashion-Segmentation

Segmenting Fashion Images with FCN

iamsiva11/GEM

iamsiva11/hello-world

Revising git.

iamsiva11/iamsiva11.github.io

Build a Jekyll blog in minutes, without touching the command line.

iamsiva11/Kaggle-Problems

Code, approaches of all the competitions I solve on Kaggle with Python, R.

iamsiva11/keras-cookbook

iamsiva11/magpie

Deep neural network framework for multi-label text classification

iamsiva11/NLP-Notes

Notes on NLP.

iamsiva11/ObjectDetection-CNN

Deep learning,CNN approaches for Object Detection.

iamsiva11/planet-understanding-the-amazon-from-space

Notes, work on "Planet: Understanding the Amazon from Space" competition on Kaggle

iamsiva11/practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

iamsiva11/Python-AtWork

iamsiva11/Quora-Question-Pairs

iamsiva11/Scala-Notes

Notes on Scala programming language ; for both myself and others.

iamsiva11/seq2seq

A general-purpose encoder-decoder framework for Tensorflow

iamsiva11/SlidingWindow-Detection

Brute force detection with sliding window and CNN classification

iamsiva11/Style-tranfer-experiments

iamsiva11/Tweet-Short

Compresses/Shortens your tweet phonetically, so you can convey more within the 140 characters.

iamsiva11/Ultrasound-Nerve-Segmentation

Notes, write up/documentation of Ultrasound Nerve Segmentation competition on Kaggle

iamsiva11/Understanding-CNNs

Understanding, Visualizing and looking under the hood with CNNs.