adityasaxena26 Goto Github PK
Name: Aditya Saxena
Type: User
Bio: Data Scientist | Dreamer | Optimist | Data Nerd | Mindfulness and Vipassana Meditator
Twitter: adityasaxena26
Location: India
Name: Aditya Saxena
Type: User
Bio: Data Scientist | Dreamer | Optimist | Data Nerd | Mindfulness and Vipassana Meditator
Twitter: adityasaxena26
Location: India
Build a Jekyll blog in minutes, without touching the command line.
Trained a Convolutional Neural Network to use OpenAI gym to play Atari 2600 game Pong using input frames of the game.
A curated list of awesome Deep Learning tutorials, projects and communities.
A topic-centric list of HQ open datasets. PR ☛☛☛
DeepRacer workshop content
A Python implementation of global optimization with gaussian processes.
TensorFlow code and pre-trained models for BERT
:link: Some useful websites for programmers.
Caffe
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
The 3rd edition of course.fast.ai
fast.ai Courses
Apply unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Gathered, assessed, and cleaned the twitter data of WeRateDogs account, and then acted on it through analysis, visualization and modeling.
Compete two neural networks against each other to generate realistic faces
Repo for the Deep Learning Nanodegree Foundations program.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A paper list of object detection using deep learning.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Analyzed and evaluated many machine learning algorithms based on accuracy and other metrics to find the best algorithm for the predicting odds of a person having diabetes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.