vamsime

Pinned Repositories

Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Language:Jupyter Notebook00
applied-machine-learning
Applied Machine Learning @ http://amitkaps.com/ml
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Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
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Autopilot
A self driving car model for humans.
Language:Python00
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
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awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Language:Python00
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
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Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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Awesome_Machine_Learning_Solutions
A curated list of repositories for my book Machine Learning Solutions.
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bigdata
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
Language:Jupyter Notebook00

vamsime's Repositories

vamsime/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Language:Jupyter Notebook00
vamsime/Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
00
vamsime/bigdata
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
Language:Jupyter Notebook00
vamsime/Data-Science--Cheat-Sheet
Cheat Sheets
vamsime/Deep-Reinforcement-Learning-Explained
vamsime/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
vamsime/DeepLearning-PadhAI
All the code files related to the deep learning course from PadhAI
vamsime/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.
vamsime/fastapi101
Language:Python
vamsime/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Language:Jupyter Notebook
vamsime/indicnlp_catalog
A collaborative catalog of resources for Indian language NLP
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vamsime/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
vamsime/machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
vamsime/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
vamsime/MasterOpenCV
vamsime/ML_Fundamentals
Fundamentals of Machine Learning Course at DSR
vamsime/modern_practical_nlp
This course covers how you can use NLP to do stuff.
Language:Jupyter Notebook0 0
vamsime/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems
vamsime/one-fourth-labs-deep-learning
Code and Documents related to Deep Learning Course at padh.ai
vamsime/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
vamsime/Programming-Interview-Questions-in-Python
Python programming interview questions.
vamsime/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
vamsime/scikit-learn-tips
:robot::zap: Daily scikit-learn tips
vamsime/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Language:Python
vamsime/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
vamsime/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Language:Jupyter Notebook1 0
vamsime/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
vamsime/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
vamsime/tutorials
Language:Jupyter Notebook
vamsime/tutorials-1
All of the code for my Medium articles