kulin-patel

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

all-seeing

[ICLR 2024] This is the official implementation of the paper "The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World"

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

openai-cookbook

Examples and guides for using the OpenAI API

LearningSparkV2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Welcome

Here you can find data science tools that you should install and learn before you start the program.

Papers

Revolutionary Deep Learning Models - All Implemented In PyTorch

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

breast-cancer-classification

Breast Cancer Classification - Malignant and Benign

VaccineAvailabilityNotifier

ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022