Here we will track the latest AI Multimodal Models, including Multimodal Foundation Models, LLM, Audio, Image, Video, Music and 3D content. 🔥

Notes, reviews, and detailed learning paths for deeplearning.ai courses

Config files for my GitHub profile.

Learn how to build agents that can reason over their own documents

Facilitates real-time recognition of action figure characters via webcam by employing deep learning and AI methodologies.

All my projects related to AI - Basic Ml Models To Deep Learning Projects All At One Place

repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics

TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.

Deep Learning & AI Full Course | 60 Days of Deep Learning Sponsored by: www.aiquest.org

Notes for courses by deeplearning.ai

Learn to compressing models through methods such as quantization to make them more efficient, faster, and accessible

Solved programming assignments Coursera Deep Learning specialization offered by deeplearning.ai

Empowering healthcare with AI, LeukoVision automates the detection of leukemia cells in blood smear images. Revolutionizing leukemia care with speed and accuracy.

My notes / works on deep learning from Coursera

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

🧬 Neural Network Practices

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.

Learn about selecting the right Mistral model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG).

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.