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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Robust Speech Recognition via Large-Scale Weak Supervision
The simplest, fastest repository for training/finetuning medium-sized GPTs.
You like pytorch? You like micrograd? You love tinygrad! ❤️
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Code samples for my book "Neural Networks and Deep Learning"
Keep your application settings in sync (OS X/Linux)
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
SwinIR: Image Restoration Using Swin Transformer (official repository)
A collection of loss functions for medical image segmentation
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Scenic: A Jax Library for Computer Vision Research and Beyond
A python library for self-supervised learning on images.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
ShivamShrirao / diffusers
Forked from huggingface/diffusers🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Corruption and Perturbation Robustness (ICLR 2019)
A learning rate range test implementation in PyTorch
scikit-learn cross validators for iterative stratification of multilabel data