dhingratul Goto Github PK

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Name: Atul Dhingra

Type: User

Bio: Machine Learning Engineer| Experienced researcher in Computer Vision, Deep Learning, and Machine Learning

Location: San Jose, CA

Blog: https://www.linkedin.com/in/dhingratul/

Atul Dhingra's Projects

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

algorithmsnippets

Visualize minimum spanning tree algorithm by taking input nodes from the user.

alphago_demo

This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube

augmented-reality

Synthesize clip-art and a 3D mesh onto an image for which the homographies have been calculated using the camera caliberation project.

build-nanogpt

Video+code lecture on building nanoGPT from scratch

camera-caliberation

Calibrate the camera of a robot vehicle for 3d and 2d camera caliberation.

capsnet-keras

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

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

classifiers

Project for CS-520(Intro to AI) at Rutgers University

coding-exercises

Problems from Cracking the Coding Interview

computationalphotography

Implemented Texture Synthesis and Image Inpainting algorithms

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

coordinate-gradient-descent

Lasso is implemented on CIFAR-10 dataset via Co-ordinate Gradient descent algorithm.

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.

cs344

Introduction to Parallel Programming class code

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

data-analysis

Data Analysis exercises as a part of Udacity's Intro to Data Analaysis

data-science

Data Science

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-learning

Deep Learning exercises as a part of Google's Deep Learning Course on Udacity

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

eclectic-nets

Collection of most popular Deep Learning architechtures trained with tensorflow, keras

ethnicity-classifier

This classifier uses the sub-strings of size 3 to learn probability associated with each substring such that it belongs to a particular ethnic group using the census 2000 data. When a new string is presented, it is broken down into sub-strings of size 3, and prediction is done on each of the sub-string using the model computed before. The output accuracy of the predictor is 85%. The model can be improved by balancing the sub-strings and the across the ethnic groups. The model follows the Naive Bayes assumption of conditional independence

dhingratul Goto Github PK

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