My thought process on research papers in NLP, Computer Vision and Foundation of Machine Learning

Sample cover letter:

- Here's the [link](https://github.com/acecreamu/ai-residency)


#### NLP

- The paper on `transformer` entitled `attention is all you need` link [here](https://arxiv.org/abs/1706.03762) a very great and concise explanation of the paper by `Jay Alammar` [here](https://jalammar.github.io/illustrated-transformer/)
- Word2Vec concise explanation by Jay Alammar [here](https://jalammar.github.io/illustrated-word2vec/)
- TopicBert by `Maarten` [here](https://paperswithcode.com/paper/bertopic-neural-topic-modeling-with-a-class/review/)
- LightWeight attention convolution 

#### CV

- The paper on passion fruit disease detection using fatser-rcnn [here](https://www.linkedin.com/posts/allassan-nken_makerere-passion-fruits-disease-detection-activity-6926294850124316672-xvWk?utm_source=share&utm_medium=member_desktop)

#### Stable diffusion

- Link to explanation [here](https://jalammar.github.io/illustrated-stable-diffusion/)

#### Brain Tumor detection using transfer-learning

- Link [here](https://www.kaggle.com/code/brsdincer/brain-tumor-prediction-new-data-full-explanation)

#### Some of my WedOO.ai Slide presentations

- Introduction a l'intelligence artificielle (data Jan 2023) [here](https://docs.google.com/presentation/d/1Karl8TdZ0DQjUfCLxOpfK4rk5uAxIssihVwOZMvGzIQ/edit?usp=sharing)
- Topic modelling using BertTopic [coming soon](https://)