kulin-patel's Stars
openai/openai-cookbook
Examples and guides for using the OpenAI API
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
mrdbourke/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.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
mbadry1/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.
databricks/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
kartikey54/VaccineAvailabilityNotifier
OpenGVLab/all-seeing
[ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of the Open World"
30lm32/ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Ansh3101/Papers
Revolutionary Deep Learning Models - All Implemented In PyTorch
UMBC-Data-Science/Welcome
Here you can find data science tools that you should install and learn before you start the program.
kulin-patel/breast-cancer-classification
Breast Cancer Classification - Malignant and Benign