Mahendra114027's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
faif/python-patterns
A collection of design patterns/idioms in Python
ray-project/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.
d2l-ai/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.
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
embedchain/embedchain
Memory for AI agents
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
VAST-AI-Research/TripoSR
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
xataio/pgroll
PostgreSQL zero-downtime migrations made easy
rom1504/clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
posit-dev/great-tables
Make awesome display tables using Python.
pytorch/opacus
Training PyTorch models with differential privacy
Lightning-Universe/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Belval/pdf2image
A python module that wraps the pdftoppm utility to convert PDF to PIL Image object
torchgan/torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
christiancosgrove/pytorch-spectral-normalization-gan
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
wandb/weave
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
dexplo/dataframe_image
A python package for embedding pandas DataFrames as images into pdf and markdown documents
criteo-research/pytorch-ada
Another Domain Adaptation library, aimed at researchers.
RabbitBoss/Awesome-Realistic-Semi-Supervised-Learning
An awesome paper list of Semi-Supervised Learning under realistic settings.
dlmacedo/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.
deeplearning-wisc/opencon
Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
hklchung/GAN-GenerativeAdversarialNetwork
Beginner's Guide to building GAN from scratch with Tensorflow and Keras
Vastlab/vast
A repository for some common operations for everyone
misraya/unsupervised_open_set
Unofficial implementation of Perera, P. et al. “Generative-discriminative feature representations for open-set recognition.” CVPR, 2020.
cclauss/pydantic-books-example
rafaelvareto/maximal-entropy-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.