shubhampachori12110095 Goto Github PK

layered-scene-inference

Code accompanying the paper "Layer-structured 3D Scene Inference via View Synthesis", ECCV 2018

layeredbsdf

layoutembedding

Implementation of the paper "Layout Embedding via Combinatorial Optimization"

layoutnet

Torch implementation for CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"

lbcnn.torch

Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html

lbdreconstruction

lbldm-demo

Log-Bilinear Document Model

lbry

A fully decentralized network for distributing data

lc-quad

A data set of natural language queries with corresponding SPARQL queries

lcp-physics

A differentiable LCP physics engine in PyTorch.

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lda2vec

lda2vec-pytorch

Topic modeling with word vectors

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

lealtaixe.github.io

My website

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

learn-fp

learn-by-doing course/tutorial for functional programming on scala

learn-improvement-heuristics-for-routing

learn-reflectance

learn-to-cluster

Learning to Cluster Faces on an Affinity Graph (CVPR 2019)

learn-to-run

Learning to Run https://www.crowdai.org/challenges/nips-2017-learning-to-run

learning-d2d-task-off-loads

learning-natural-language-inference-using-bidirectional-lstm-model-and-inner-attention

Implementation of sentence comparison model using inner attention

learning-pyspark

Code repository for Learning PySpark by Packt

learning-python-application-development

Code repository for Learning Python Application Development, published by Packt

learning-state-representations-with-robotic-priors

Code and data accompaning the paper "Learning State Representations with Robotic Priors" (Jonschkowski and Brock, 2015).

learning-to-communicate

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

learning-to-learn

Learning to Learn in TensorFlow

learning-to-see-in-the-dark

learningpyspark

Code base for the Learning PySpark book (in preparation)