anjali88
Dr Pushpanjali Banik | PhD| MSc| BTech| RL| ML| DL| 5G| SDN| NFV
University of OxfordUnited kingdom
Pinned Repositories
Activity-Recognition-with-CNN-and-RNN
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
AIHFT
Anomaly-XRay-GANs
Anomaly detection on X-Ray MURA dataset using GAN.
autoencoder-as-feature-extractor-CIFAR-10
CIFAR-10 image classification of imbalanced data using bottleneck features extracted from the autoencoder.
autoencoder_anomaly_detection
Experiment for detecting Anomaly detection using Autoencoders
autoencoders_keras
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
BERT-Stock-Prediction-Using-NLP
In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings
HFT-ML
anjali88's Repositories
anjali88/vix_prediction
A time series prediction project on the CBOE VIX index.
anjali88/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
anjali88/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
anjali88/example_adversarial-AE-VAE
Adversarial Autoencoder and Adv. Variational Bayes simple examples on Keras
anjali88/network_anomaly_detection_deep_learning
This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.
anjali88/Stock-prediction-XGBoost
Stock Prediction with XGBoost: A Technical Indicators' approach
anjali88/gan_deeplearning4j
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
anjali88/feature-selection-using-sensitivity-analysis
A new feature selection method using feedforward neural networks and variance-based sensitivity analysis
anjali88/Introduction_to_Deep_Learning_Coursera
Intro to Deep Learning by National Research University Higher School of Economics
anjali88/DeepLearning
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
anjali88/Anomaly-XRay-GANs
Anomaly detection on X-Ray MURA dataset using GAN.
anjali88/autoencoders_keras
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
anjali88/finance_gan
Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
anjali88/Deep-Learning-modules-in-Keras
A project about the brief implementation of MLP, CNN, RNN, Unsupervised learning with Autoencoders, ETC, Text analytics using CNN in Python
anjali88/Microsoft_Data_AI_Meetup
Content
anjali88/Computer_Vision_A-Z_OpenCV_SSD_DCGANs
code commit
anjali88/coursera-machine-learning-1
Coursera's Machine Learning by Andrew Ng
anjali88/LoanPredictions
To predict loan status
anjali88/machine-learning
Various case studies on Machine Learning
anjali88/autoencoder_anomaly_detection
Experiment for detecting Anomaly detection using Autoencoders
anjali88/vae-mxnet
MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)
anjali88/Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
anjali88/Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network
Codes and Templates from the SuperDataScience Course
anjali88/data_science_projects
This repo contains machine learning projects for beginners
anjali88/Reinforcement-Learning
Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
anjali88/Stock-Price-Prediction-Using-KNN-Algorithm
Basic Stock Price Prediction Using KNN Algorithm. #Python
anjali88/SharkStock
Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
anjali88/StockPredictionRNN
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
anjali88/SALib
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.