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kgsf

KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

knowledge-graphs

A collection of research on knowledge graphs

langchain

⚡ Building applications with LLMs through composability ⚡

learned-activation-functions-source

For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/abs/1412.6830

lgm

Implementation of Layered Graphical Model with demo code

lightnet

lightning

Large-scale linear classification, regression and ranking in Python

linearfw

Frank-Wolfe optimization variants with a linear convergence rate

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

machinelearning

Basic Machine Learning and Deep Learning

maria

PyTorch implementation for ACL 2021 paper "Maria: A Visual Experience Powered Conversational Agent".

matconvnet

MatConvNet: CNNs for MATLAB

mrnn

Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019

neural-style

Torch implementation of neural style algorithm

neural-tangents

Fast and Easy Infinite Neural Networks in Python

node-couchdb

couchdb-node fork. Added some missing functions.

node-datamanager

ntk

NTK reading group

opentld

Official source code for TLD

optim

A numeric optimization package for Torch.

part_constellation_models

Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."

peagnn

Official code for the paper "Metapath- and Entity-aware Graph Neural Network for Recommendation"

plantnet-datamanager

plantnet-publish

playground

Play with neural networks!

pnn.pytorch

PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html

practical4

Implementing your own layer

pretrained-models.pytorch

Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.

profxkit

Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)