Pinned Repositories
2017_CSIC5011
2017_iv_deep_radar
Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017
2022-docker
40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
a-bit-of-deep-learning-and-keras
Follow along repo for the eponymously named youtube playlist
deep_soli
This is an attempt to train the model using deep soli (google) data provided
Supervised_training_for_RANS_flows_around_airfoils
TMDSI
Transformer Memory as a Differentiable Search Index, Google Research Paper
vikasmech's Repositories
vikasmech/40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
vikasmech/academy
Ray tutorials from Anyscale
vikasmech/Ad-papers
Papers on Computational Advertising
vikasmech/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
vikasmech/arrayReview-java
vikasmech/autograd
Efficiently computes derivatives of numpy code.
vikasmech/bespoke-public-talks
Code samples and other materials for presentations by Bespoke tech team members
vikasmech/catalyst
Reproducible and fast DL & RL.
vikasmech/CFDSolver
Computational Fluid Dynamics Solver
vikasmech/d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
vikasmech/data-science-smart-grid-stability
Machine learning - Deep learning - Smart grid stability
vikasmech/Deep-Learning-for-Natural-Language-Processing
Solve your natural language processing problems with smart deep neural networks
vikasmech/elasticsearch-first-steps
Elasticsearch First Steps
vikasmech/ELK-Stack-Primer
vikasmech/EVA5
vikasmech/FluidNet
Accelerating Eulerian Fluid Simulation With Convolutional Networks
vikasmech/functional_intro_to_python
A functional, Data Science focused introduction to Python
vikasmech/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
vikasmech/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
vikasmech/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
vikasmech/Kibana-7-Quick-Start-Guide
Published by Packt
vikasmech/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
vikasmech/python-random-quote
A file-based quote bot written in Python
vikasmech/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
vikasmech/resume
Data Scientist
vikasmech/StakeOverFlow_
vikasmech/talks_odt
Slides and materials for most of my talks by year
vikasmech/TrustScore
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
vikasmech/uq-course
Introduction to Uncertainty Quantification
vikasmech/USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning