Stars
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Contains Company Wise Questions sorted based on Frequency and all time
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
A minimal implementation of diffusion models for text generation
Clean, responsive, single-page Hugo website theme.
MNIST classifier implementation with PyTorch Lightning on Amazon SageMaker
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways
⚡ A Fast, Extensible Progress Bar for Python and CLI
Udacity Data Engineering Nanodegree Program
Train transformer language models with reinforcement learning.
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A collection of datasets originally distributed in R packages
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
State-of-the-Art Text Embeddings
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy