Swapnil Bhadade's repositories
crypto-whale-watching-app
Python Dash app that tracks whale activity in cryptocurrency markets.
alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
ANIML
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Beapi-API-Framework
BeAPI Framework is a Plug-N-Play 'Enterprise Ready' API Framework. It implements the NEW API Pattern allowing for abstraction of the communication layer from the business logic layer thus improving scalability, speed and synchronization of I/O state in distributed systems
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
binance-official-api-docs
Official Documentation for the Binance APIs and Streams
bitcoin-market-data
Largest up-to-date tick market data for Bitcoin (mirror server of bitcoincharts.com).
bitfinex_api
Python client for the Bitfinex REST API
dash-1
Analytical Web Apps for Python. No JavaScript Required.
DVRL
Deep Variational Reinforcement Learning
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
invesalius3
3D medical imaging reconstruction software
med3web
Med3Web is a high performance web tool for advanced 2-D and 3-D medical visualizations.
openbr
Open Source Biometrics, Face Recognition
OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
OptimalPortfolio
An open source library for portfolio optimisation
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
python-binance
Binance Exchange API python implementation for automated trading
ReactiveTraderCloud
Real-time trading platform demo showcasing reactive programming principles applied across the full application stack.
requests
Python HTTP Requests for Humans™ ✨🍰✨
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensorflow-optimized-wheels
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA, XLA, MPI, MKL
the-gan-zoo
A list of all named GANs!
Uber-Like-Cab-Service
Uber Like Android App with PHP backend
zenbot
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.