vdaytona's repositories
_data
Data storage for various projects.
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
from_coder_to_expert
2019年最新总结，从程序员到CTO，从专业走向卓越，分享大牛企业内部pdf与PPT
FXCM_currency
Using Machine Learning for live currency trading
hft
real high-frequency-trading system based on c++
Kaggle-Rental-Listing-Inquireies
Summary of getting a silver medal in kaggle
Krypto-trading-bot
Self-hosted high frequency automated market making cryptocurrency trading platform in node.js, angular, typescript and c++
Novel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks
capsule networks that achieves outstanding performance on the German traffic sign dataset
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
Pair-Trading-Reinforcement-Learning
An Structural Application of Reinforcement Learning in Pair Trading
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
PyAPT
Controlling Thorlabs APT using Python code using APT.dll and APT.lib, bypassing the activex controls
pysc2-examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Realtime_Multi-Person_Pose_Estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
RNN-stocks-prediction
Another attempt to use Deep-Leaning in the financial markets
statistical-arbitrage-18-19
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach (proposed).
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.
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architecture for fast inference.
tf_deep_rl_trader
Trading Environment(OpenAI Gym) + PPO(TensorForce)
the-art-of-command-line
Master the command line, in one page
TrafficNetwork
Builds a network representation of a traffic region using data from an Aimsun model.
tribeca
Self-hosted high frequency automated market making cryptocurrency trading platform in node.js, angular, typescript and c++
z-nomp
z-nomp is mining pool software for Zcash and Zclassic so you can create internet money in your home!