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Differentiable architecture search for convolutional and recurrent networks
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Most popular metrics used to evaluate object detection algorithms.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Collection of generative models in Tensorflow
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)
Reference models and tools for Cloud TPUs.
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
The most cited deep learning papers
A customisable 3D platform for agent-based AI research
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
☢️ Run Android Apps in Chrome OS OR Chrome in OS X, Linux and Windows.
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
A toolkit for developing and comparing reinforcement learning algorithms.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind
A two-way integration between Vim and IPython 0.11+
Recurrent Neural Network - A curated list of resources dedicated to RNN
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
lean & mean status/tabline for vim that's light as air