1618ai's Stars
afaqueahmad7117/spark-experiments
Ultimate guide for mastering Spark Performance Tuning and Optimization concepts and for preparing for Data Engineering interviews
Vchitect/Latte
Latte: Latent Diffusion Transformer for Video Generation.
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
assafelovic/gpt-researcher
LLM based autonomous agent that does online comprehensive research on any given topic
csteinmetz1/ai-audio-startups
Community list of startups working with AI in audio and music technology
leap-ai/leap-ai-cover-images
archinetai/audio-ai-timeline
A timeline of the latest AI models for audio generation, starting in 2023!
samim23/polymath
Convert any music library into a music production sample-library with ML
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
joyb0218/intro_to_algorithms
RealToughCandy.io Introduction to Algorithms course code examples. Enjoy!
rajlm10/D2L-Torch
Learning PyTorch through the D2L book. A series of notebooks for the same
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
TheAlgorithms/Python
All Algorithms implemented in Python
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
imshourya007/mlopszoomcamp
zachwill/cracking-the-coding-interview
Python solutions for the book Cracking the Coding Interview
youssefHosni/Practical-Time-Series-In-Python
Practical guidance for time series analysis in Python
akamara05/SQL
All SQL coding projects and case studies
ThinamXx/ML..Interview..Preparation
Preparation for Machine Learning Interview
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
renatofillinich/ab_test_guide_in_python
Ephemeral-Ahsan/8-weeks-SQL-Challenge-by-Danny
mCodingLLC/VideosSampleCode
Code from the mCoding sample videos
xbresson/CS4243_2022
Computer Vision and Pattern Recognition, NUS CS4243, 2022
neetcode-gh/leetcode
Leetcode solutions
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
musikalkemist/solidforml
Code and slides for the "SOLID principles for ML engineers" series on The Sound of AI YouTube channel.
graviraja/MLOps-Basics