satishjasthi Goto Github PK

followers: 28.0 following: 51.0 repos: 339.0 gists: 9.0

Name: SATISH J

Type: User

Company: Detalytics

Bio: Machine learning Fanatic

Location: India

Blog: https://twitter.com/SatishJasthiJ

Projects

Predicting Stock prices using Deep learning (Apr 2017 - Apr 2017)

Description: Evaluated the performance of LSTM network to predict Google close stock price. Addressed the issue of vanishing gradient in long-term sequences using long short term memory architecture, and developed a model to predict the stock price, approximates the actual value.
See project here

Train a Smartcab to Drive (Mar 2017 - Mar 2017)

Description: Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modelling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
See project here

Creating Customer Segments (Feb 2017 - Feb 2017)

Description: Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
See project here

Finding Donors for CharityML (Feb 2017 - Feb 2017)

Description: Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
See project here

SATISH J's Projects

machine-learning-with-python

Machine Learning Implementations in Python

machinelearningblr.github.io

Home of Machine Learning Bangalore Chapter

manim

A community-maintained Python framework for creating mathematical animations.

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

meta-backend-development

This repository contains assignments files for Meta Backend Development Specialisation

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

micropsi2

Python version of cognitive architecture MicroPsi

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

ml_paper_notes

:book: Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

mlalgorithm

Implmentation some basic machine learning algorithms. All of these algorithms are implemented after taking courses in University of Freiburg and also after taking online courses about the ML algorithms.

mlblogs

My blogs on ML and DL

mlnd

A Wiki containing helpful information for new and existing students of the Machine Learning Nanodegree at Udacity. Written by students of the Nanodegree.

models

Models built with TensorFlow

mojo

The Mojo Programming Language

moniel

Interactive Notation for Computational Graphs

mujoco-py

MuJoCo Python bindings

naive-bayes-classifier

yet another general purpose naive bayesian classifier.

netron

Visualizer for neural network, deep learning, and machine learning models

neural-painter

Paint artistic patterns using random neural network

nilearn

Machine learning for NeuroImaging in Python

nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

nlp_course

YSDA course in Natural Language Processing

nlpnet

A neural network architecture for NLP tasks, inspired in the SENNA system. It uses as input vectors built through Vector Space Models and avoid external NLP tools. Currently, it can perform POS tagging, SRL and dependency parsing.

nlpsentiment

Improve upon sentiment predictions for a Twitter dataset

numpy

Numpy main repository

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.