Stars
Software package for computer aided synthesis planning
Machine learning algorithms implemented by pure numpy
[Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is developed by the Lab of Professor Weiwei Lin (linw…
Tensorforce: a TensorFlow library for applied reinforcement learning
A technical report on convolution arithmetic in the context of deep learning
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
SOTA Re-identification Methods and Toolbox
(Re-)implementation of evaluation code for SYSU_MM01 dataset in python
Introduction and evaluation code for RGB-IR re-id dataset SYSU-MM01.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
A library of reinforcement learning components and agents
This repository contains implementations and illustrative code to accompany DeepMind publications
A playbook for systematically maximizing the performance of deep learning models.
PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
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[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Flax is a neural network library for JAX that is designed for flexibility.
Public interface definitions of Google APIs.
SoftVC VITS Singing Voice Conversion
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data