Pinned Repositories
10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
ABigSurvey
A collection of 400+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
ac-gan
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
adversarial-learning-robustness
Contains materials for workshops pertaining to adversarial robustness in deep learning.
ai-chatbot-framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
AI-for-Medical-Diagnosis
This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Diagnosis" in Coursera by deeplearning.ai. Please use this only for reference Purpose
nlpaug
Data augmentation for NLP
srinivasgutta7's Repositories
srinivasgutta7/awesome-android-ui
A curated list of awesome Android UI/UX libraries
srinivasgutta7/awesome-data-engineering
A curated list of data engineering tools for software developers
srinivasgutta7/awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
srinivasgutta7/awesome-edge-machine-learning
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
srinivasgutta7/awesome-elasticsearch
A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!
srinivasgutta7/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
srinivasgutta7/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
srinivasgutta7/awesome-wasm
😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem.
srinivasgutta7/BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
srinivasgutta7/CLR
srinivasgutta7/continuous-intelligence-workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
srinivasgutta7/dab-and-tpose-controlled-lights
Control your lights with dab and t-pose, duh
srinivasgutta7/Data-Science--Cheat-Sheet
Cheat Sheets
srinivasgutta7/Data-Wrangling-with-Python
Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
srinivasgutta7/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
srinivasgutta7/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
srinivasgutta7/deeplearning-models
A collection of various deep learning architectures, models, and tips
srinivasgutta7/explainable_artificial_intelligence
Slides, code and resources for model interpretation methods in machine learning and deep learning
srinivasgutta7/kafka-spark-streaming-zeppelin-docker
One click deploy docker-compose with Kafka, Spark Streaming, Zeppelin UI and Monitoring (Grafana + Kafka Manager)
srinivasgutta7/keras-yolo3-1
A Keras implementation of YOLOv3 (Tensorflow backend)
srinivasgutta7/learning-material
All the stuff that we need
srinivasgutta7/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
srinivasgutta7/make-sense
Free to use online tool for labelling photos. https://makesense.ai
srinivasgutta7/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
srinivasgutta7/practicalAI
📚 A practical approach to learning and using machine learning.
srinivasgutta7/pytorch_tutorial
PyTorch tutorial for PyData Berlin
srinivasgutta7/ResumeParser
A simple resume parser used for extracting information from resumes
srinivasgutta7/spark-training
Repository used for Spark Trainings
srinivasgutta7/Speech-Transformer-tf2.0
transformer for ASR-systerm (via tensorflow2.0)
srinivasgutta7/WikiHow-Dataset
A Large Scale Text Summarization Dataset