Aditya Saxena's repositories
predicting-bike-sharing-data
Build a neural network from scratch to carry out a prediction problem on a real dataset! The model will predict daily bike rental ridership.
adityasaxena26.github.io
Build a Jekyll blog in minutes, without touching the command line.
diabetes-prediction
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
dog-breed-classifier
A convolutional neural network to determine the breed of a dog in an image.
Sentiment-Network
Classification of sentiments in IMDb movies reviews
tv-script-generation
Generate your own Simpsons TV scripts using RNNs.
aws-deepracer-workshops
DeepRacer workshop content
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
creating-customer-segments
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-Wrangling-and-Analysis-of-WeRateDogs-Twitter-Archive
Gathered, assessed, and cleaned the twitter data of WeRateDogs account, and then acted on it through analysis, visualization and modeling.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
dlaicourse
Notebooks for learning deep learning
fastText
Library for fast text representation and classification.
google-research
Google AI Research
imagededup
😎 Finding duplicate images made easy!
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
predicting-students-admissions
A simple neural network implementation to predict student admissions to graduate school at UCLA based on three pieces of data: GRE Scores, GPA Scores and Class rank
predicting-students-admissions-keras
Predicting student admissions with neural networks in Keras
tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
titanic-survival-exploration
Using the power of machine learning to predicting which passengers were likely to survive the disaster
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow