Pinned Repositories
big-dipper-2.0-cosmos
forbole-x
A multichain asset management platform.
website
About-Me
A Simple About Me Page
anuraghazra
ASR-for-GPS
The Hidden Markov Model Toolkit (HTK) - Automated Speech Recognition Model for GPS
Ate_Bite
All-in-one chatroom with 📍 map, 🚀 live feed and ⏳ real-time voting system for streamlining teams' decision making progress.
big-dipper-2.0-cosmos-fork
bitcoin-price-tracker
A web app displaying bitcoin exchange rates for multiple currencies, currently supporting 13 currencies.
rachelhox's Repositories
rachelhox/About-Me
A Simple About Me Page
rachelhox/anuraghazra
rachelhox/ASR-for-GPS
The Hidden Markov Model Toolkit (HTK) - Automated Speech Recognition Model for GPS
rachelhox/Ate_Bite
All-in-one chatroom with 📍 map, 🚀 live feed and ⏳ real-time voting system for streamlining teams' decision making progress.
rachelhox/big-dipper-2.0-cosmos-fork
rachelhox/bitcoin-price-tracker
A web app displaying bitcoin exchange rates for multiple currencies, currently supporting 13 currencies.
rachelhox/Canvas
Canvas 🎨
rachelhox/core
GO implementation of the Terra Protocol
rachelhox/chain-registry
rachelhox/Data-Structure
rachelhox/Dropbox-with-cache
A simple dropbox with cache
rachelhox/exercise-tracker
Exercise Tracker Log
rachelhox/Instances
Instant event app
rachelhox/leaderboard-backend
rachelhox/leaderboard-frontend
rachelhox/my-snake-game
Retro Game - The Snake Game
rachelhox/nextjs-blog
rachelhox/Pong
Retro Pong Game
rachelhox/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
rachelhox/rachelhox
rachelhox/Semantic-UI-React
The official Semantic-UI-React integration
rachelhox/simple-express-base
rachelhox/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.
rachelhox/tic-tac-toe
Retro Game
rachelhox/voter-registration
#voter-registration
rachelhox/yt-clone