adityasaxena26
Data Scientist | Dreamer | Optimist | Data Nerd | Mindfulness and Vipassana Meditator
India
Pinned Repositories
adityasaxena26.github.io
Build a Jekyll blog in minutes, without touching the command line.
analyzing-IMDb-data-in-Keras
Atari-Pong-Agent-using-OpenAI-Gym
Trained a Convolutional Neural Network to use OpenAI gym to play Atari 2600 game Pong using input frames of the game.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
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.
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.
RL-Teach-a-Quadcopter-How-to-Fly
Built a quadcopter flying agent that learns to take off, hover, and land using Reinforcement Learning
Sentiment-Network
Classification of sentiments in IMDb movies reviews
tv-script-generation
Generate your own Simpsons TV scripts using RNNs.
adityasaxena26's Repositories
adityasaxena26/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/adityasaxena26.github.io
Build a Jekyll blog in minutes, without touching the command line.
adityasaxena26/analyzing-IMDb-data-in-Keras
adityasaxena26/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
adityasaxena26/dog-breed-classifier
A convolutional neural network to determine the breed of a dog in an image.
adityasaxena26/tv-script-generation
Generate your own Simpsons TV scripts using RNNs.
adityasaxena26/aws-deepracer-workshops
DeepRacer workshop content
adityasaxena26/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
adityasaxena26/breast-cancer-prediction
adityasaxena26/chatbot1.0
adityasaxena26/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
adityasaxena26/course-v3
The 3rd edition of course.fast.ai
adityasaxena26/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.
adityasaxena26/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.
adityasaxena26/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
adityasaxena26/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
adityasaxena26/dlaicourse
Notebooks for learning deep learning
adityasaxena26/fastText
Library for fast text representation and classification.
adityasaxena26/google-research
Google AI Research
adityasaxena26/imagededup
😎 Finding duplicate images made easy!
adityasaxena26/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
adityasaxena26/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
adityasaxena26/nba-analytics
adityasaxena26/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
adityasaxena26/predicting-students-admissions-keras
Predicting student admissions with neural networks in Keras
adityasaxena26/tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
adityasaxena26/titanic-survival-exploration
Using the power of machine learning to predicting which passengers were likely to survive the disaster
adityasaxena26/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
adityasaxena26/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
adityasaxena26/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding