Stars
🤗 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.
open Multi-View Stereo reconstruction library
COLMAP - Structure-from-Motion and Multi-View Stereo
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
A package for the sparse identification of nonlinear dynamical systems from data
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Image restoration with neural networks but without learning.
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Python Heart Rate Analysis Package, for both PPG and ECG signals
Speech Enhancement Generative Adversarial Network in TensorFlow
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Implementation of several different types of autoencoders
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Inner- and Outer Recursive Neural Networks for Chemoinformatics
Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Standalone TensorBoard for visualizing in deep learning
Inception Score for GANs in Pytorch
long-term blood pressure prediction with deep recurrent neural networks