leorrose's Stars
bryandlee/animegan2-pytorch
PyTorch implementation of AnimeGANv2
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ResidentMario/missingno
Missing data visualization module for Python.
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Jakobovski/free-spoken-digit-dataset
A free audio dataset of spoken digits. An audio version of MNIST.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
lux-org/lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
AvrahamRaviv/Deep-Learning-in-Hebrew
ספר מלא בעברית על למידת מכונה ולמידה עמוקה
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
maorhadad/BeerShevaCompanies
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
pydantic/pydantic
Data validation using Python type hints