GitiHubi's Stars
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
adap/flower
Flower: A Friendly Federated AI Framework
github/archive-program
The GitHub Archive Program & Arctic Code Vault
jupyter/nbdime
Tools for diffing and merging of Jupyter notebooks.
facebookresearch/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
pytorch/opacus
Training PyTorch models with differential privacy
sgrvinod/Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
bayesiains/nflows
Normalizing flows in PyTorch
bayesiains/nsf
Code for Neural Spline Flows paper
joshr17/HCL
ICLR 2021, Contrastive Learning with Hard Negative Samples
AI4LIFE-GROUP/OpenXAI
OpenXAI : Towards a Transparent Evaluation of Model Explanations
sdv-dev/SDMetrics
Metrics to evaluate quality and efficacy of synthetic datasets.
GlassyWing/nvae
An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
TrentBrick/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
wyjeong/FedWeIT
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
blei-lab/deconfounder_tutorial
PolinaKirichenko/flows_ood
hmdolatabadi/AdvFlow
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
EvZissel/Residual-Flow
An implementation of the Residual Flow algorithm for out-of-distribution detection.
NERSC/pytorch-examples
PyTorch examples for NERSC systems
sattarov/FinDiff
Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
financial-data-science/CFDS-Notebooks
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
sattarov/FedTabDiff
Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"
sarthak268/DisCont
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
matturche/flower_opacus_example
Example of Flower and Opacus framework working together
GitiHubi/courseACA
A series of interactive lab notebooks we prepared for the ACA course on "Internal Audit Knowledge Elements". The content of the series is based on Python, IPython Notebook, and PyTorch.