harislye,github

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-transformer-attention

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

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

communitywriterprograms

A list of Developer Community Writer Programs

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cs-video-courses

List of Computer Science courses with video lectures.

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

d2l-ai-solutions-manual

《动手学深度学习》习题解答，在线阅读地址：https://datawhalechina.github.io/d2l-ai-solutions-manual

deep-learning-resources

Books, courses, videos and blogs, mostly about Deep Learning.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

distil

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

ece3086

Code example for ECE3086

ed-mtt

A novel Engagement Detection with Multi-Task Training (ED-MTT) system which minimizes MSE and triplet loss together to determine the engagement level of students in an e-learning environment.