Pinned Repositories
awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Background-Matting
Background Matting: The World is Your Green Screen
BTB-manager-telegram
A fully-featured but easy-to-use Telegram bot for remotely managing Binance Trade Bot instances
CNEAT-Trader
A Forex- and Cryptocurrency-Tradingbot using the NEAT algorithm
Company-Analysis-Model
Documentation behind the model used to analyse companies in Simply Wall St
corona
Reverse engineering SARS-CoV-2
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
finBERT
Financial Sentiment Analysis with BERT
gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Stock-Fundamental-data-scraping-and-analysis
Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go
sbhadade's Repositories
sbhadade/CNEAT-Trader
A Forex- and Cryptocurrency-Tradingbot using the NEAT algorithm
sbhadade/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
sbhadade/finBERT
Financial Sentiment Analysis with BERT
sbhadade/7226ctrl
controller for 722.6 automatic transmission
sbhadade/alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
sbhadade/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
sbhadade/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
sbhadade/bagea
sbhadade/dask
Parallel computing with task scheduling
sbhadade/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
sbhadade/difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
sbhadade/fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
sbhadade/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
sbhadade/GP4A
Code for NeurIPS 2019 paper: "Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
sbhadade/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
sbhadade/ivis
Dimensionality reduction in very large datasets using Siamese Networks
sbhadade/learningtopredict.github.io
sbhadade/lstm2
sbhadade/neat-python
Python implementation of the NEAT neuroevolution algorithm
sbhadade/NEAT_flappy_bird
AI plays flappy bird using NeuroEvulotion with Augmented Topology algorithm
sbhadade/react-native-app-auth
React native bridge for AppAuth - an SDK for communicating with OAuth2 providers
sbhadade/safety-gym
Tools for accelerating safe exploration research.
sbhadade/sha-rnn
Single Headed Attention RNN - "Stop thinking with your head"
sbhadade/ta
Technical Analysis Library using Pandas (Python)
sbhadade/tacotron
Audio samples accompanying publications related to Tacotron, an end-to-end speech synthesis model.
sbhadade/Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
sbhadade/tf_docker
sbhadade/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
sbhadade/TorchCraftAI
A platform that lets you build agents to learn to play StarCraft: Brood War.
sbhadade/yfinance
Yahoo! Finance market data downloader (+faster Pandas Datareader)