Mahendra114027

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

unsupervised_open_set

Unofficial implementation of Perera, P. et al. “Generative-discriminative feature representations for open-set recognition.” CVPR, 2020.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

weave

Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.

GAN-GenerativeAdversarialNetwork

Beginner's Guide to building GAN from scratch with Tensorflow and Keras

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

opacus

Training PyTorch models with differential privacy

great-tables

Make awesome display tables using Python.

skorch

A scikit-learn compatible neural network library that wraps PyTorch

pytorch-ada

Another Domain Adaptation library, aimed at researchers.

pydantic-books-example

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

embedchain

Memory for AI agents

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

pdf2image

A python module that wraps the pdftoppm utility to convert PDF to PIL Image object

python-patterns

A collection of design patterns/idioms in Python

pgroll

PostgreSQL zero-downtime migrations made easy

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

TripoSR

vast

A repository for some common operations for everyone

entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Awesome-Realistic-Semi-Supervised-Learning

An awesome paper list of Semi-Supervised Learning under realistic settings.

opencon

Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

maximal-entropy-loss

OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.

pytorch-spectral-normalization-gan

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

dataframe_image

A python package for embedding pandas DataFrames as images into pdf and markdown documents