scigeek72's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
openai/openai-cookbook
Examples and guides for using the OpenAI API
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
huggingface/notebooks
Notebooks using the Hugging Face libraries 🤗
fastai/course22
The fast.ai course notebooks
sdv-dev/SDV
Synthetic data generation for tabular data
SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
tensorly/tensorly
TensorLy: Tensor Learning in Python.
matplotlib/AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
AntonioLonga/PytorchGeometricTutorial
Pytorch Geometric Tutorials
txie-93/cgcnn
Crystal graph convolutional neural networks for predicting material properties.
rasbt/scipy2023-deeplearning
snap-stanford/deepsnap
Python library assists deep learning on graphs
khuangaf/PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
gfek/Real-CyberSecurity-Datasets
Public datasets to help you address various cyber security problems.
deepfindr/gnn-project
A Graph Neural Network project on HIV data
MAIF/eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
google-deepmind/mc_gradients
PacktPublishing/Production-Ready-Applied-Deep-Learning
Production-Ready Applied Deep Learning
zhao-tong/GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
db434/EWC
TensorFlow v2 + Keras implementation of Elastic Weight Consolidation
Vikrant7981/anomaly_detection