Name: Neil Pandya
Type: User
Company: Pandya Tech
Bio: My GitHub is mostly a collection of other people's projects that I think are cool. My actual development projects are hosted on private servers.
Location: Chicago, USA & Dordrecht, NL
Blog: https://www.neilpandya.com
Neil Pandya's Projects
PyTorch implementation of AnimeGANv2
This repository is part of an article about how to forecast and detect anomalies on time-series data. The main objective is to train a RNN regressor on the Bitcoin dataset to predict future values on then detect anomalies in the whole data window - that last step achieved by implementing a RNN Autoencoder. You'll see some other models in the notebooks that I've provided to you in case they are of your interest and this RNN regressor + RNN Autoencoder doesn't perform well for your purpose in any other scenario. The dataset used is available at https://www.kaggle.com/mczielinski/bitcoin-historical-data and contains BITCOIN/USD 1-minute candle data, from 2012-01-01 to 2020-12-31. I hope you can get advantage of this approach!
Change your laptop's battery charging threshold in *buntu distros.
Neil Pandya's Rendition of YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet)
Darknet repository for training YOLOv4 on Google Colab with Custom Dataset
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Config files for my GitHub profile.
EVM compatible new pair & trading bot
GUI wrapper for rogauracore used to control RGB keyboards in asus ROG laptops
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
An example site using vite to play with ThreeJS and lil-gui.
For machine learningpurposes, python script creates circles with bounding boxes, and accompanying annotations in the PASCAL VOC 2007 format. Intended for use with darkflow
YOLO3D: 3D Object Detection with YOLO
Neil Pandya's implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information