bilelKort's Stars
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
feder-cr/Auto_Jobs_Applier_AIHawk
Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
fbdesignpro/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
chethanhn29/Data-science-ML-and-DL-Resources
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
ashishpatel26/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
opencv/opencv
Open Source Computer Vision Library
ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Kent0n-Li/ChatDoctor
OpenGVLab/LLaMA-Adapter
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
evgenyzorin/IBM-Applied-Data-Science-Capstone
This Capstone is the 10th (final) course in IBM Data Science Professional Certificate specialization, and it actually summarizes in the form of project all materials that have been learned during this specialization