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
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
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
Claymore's Dual Ethereum+Decred_Siacoin_Lbry AMD+NVIDIA GPU Miner
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