svokdata's Stars
susanli2016/PyCon-Canada-2019-NLP-Tutorial
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
mlflow/mlflow
Open source platform for the machine learning lifecycle
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
timesler/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
os/slacker
Full-featured Python interface for the Slack API
mayurnewase/kaggle-manager
Manage Kaggle Submitions
atmos-python/atmos
An atmospheric sciences library for Python
mcgibbon/python-examples
Sample Python code for atmospheric science, including plotting and analysis.
CliMT/climt
The official home of climt, a Python based climate modelling toolkit.
mcgibbon/sympl
A toolkit for building planetary/Earth system models in Python
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
ritchieng/deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
krasserm/machine-learning-notebooks
Stanford Machine Learning course exercises implemented with scikit-learn
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
mobassir94/Machine-Learning-A-Z-
learning ml algorithms through Kiril's udemy course,working with Kiril for learning algorithms using python
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
raphaelvallat/pingouin
Statistical package in Python based on Pandas
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
mihail911/nlp-library
curated collection of papers for the nlp practitioner 📖👩🔬
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.