A final sanity checklist to help your CS paper get accepted, not desk rejected.

Causal Inference and Discovery in Python by Packt Publishing

Benchmarking Causl Study to Interpret Large Language Models for Source Code

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

Your hub for neuro-symbolic AI: Explore links, papers, and articles with a focus on AI cognition. Contribute and stay updated.

Neural Networks: Zero to Hero

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Data science interview questions and answers

Tutorial for end-to-end causal analysis from causal discovery to causal inference. causica, lingam and econml are the main libraries used for the tutorial.

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

Background materials for the article "Productivity Assessment of Neural Code Completion"

CNN_Skin_Cancer

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

Quantium starter repo

Copilot for R, a supporting repository for a presentation

Keras Reinforcement Learning Projects published by Packt

Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.

A PyTorch implementation for Adversarial Discriminative Domain Adaptation