ifgovh's Stars
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
tkipf/pygcn
Graph Convolutional Networks in PyTorch
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
Luolc/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
utkuozbulak/pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
piermorel/gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
pytorchbearer/torchbearer
torchbearer: A model fitting library for PyTorch
itayhubara/BinaryNet.pytorch
Binarized Neural Network (BNN) for pytorch
kevinzakka/recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
nschaetti/EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
mariogeiger/hessian
hessian in pytorch
jonathf/matlab2cpp
Convertion program from Matlab to C++ using Armadillo
jlindsey15/RAM
Recurrent Visual Attention Model
umutsimsekli/sgd_tail_index
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
ethanwharris/STAWM
Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
BrainDynamicsUSYD/SpikeNet
A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.
amobiny/Recurrent_Attention_Model
Tensorflow implementation of RAM and DRAM networks
mbaityje/DEEP-GLASS
Learning dynamics of deep feedforward networks analyzed analyzed with a glassy approach.