Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

30 Day Map Challenge 2022

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

A resource for learning about Machine learning & Deep Learning

This is a modified version of Ankush's code for generating synthetic text images which support right-to-left languages such as Persian and Arabic.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A synthetic data generator for text recognition

A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

Official Pytorch implementations of PSENet.

Implementation of CRAFT Text Detection

CRAFT-Pyotorch：Character Region Awareness for Text Detection Reimplementation for Pytorch

a small build system with a focus on speed

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

[SIGGRAPH Asia 2021] Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

🤗 AutoTrain Advanced

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

MONAI Tutorials

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

NanoNets OCR API Example for Python

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.