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.
COLMAP - Structure-from-Motion and Multi-View Stereo
Image restoration with neural networks but without learning.
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
open Multi-View Stereo reconstruction library
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…
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
A list of recent papers regarding deep reinforcement learning
The original code from the DeepMind article + my tweaks
A package for the sparse identification of nonlinear dynamical systems from data
Python Heart Rate Analysis Package, for both PPG and ECG signals
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Speech Enhancement Generative Adversarial Network in TensorFlow
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
Inception Score for GANs in Pytorch
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Torch implementations of various types of autoencoders
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice