zhp-99's Stars
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
warshallrho/warshallrho.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
warshallrho/unigarmentmanip
warshallrho/PKUInfoMaster-Backend
warshallrho/PKUInfoMaster-Frontend
warshallrho/tensorlayer2
[WIP] Updating TensorLayer for TensorFlow 2.0
warshallrho/where2act
Where2Act: From Pixels to Actions for Articulated 3D Objects
warshallrho/VAT-Mart
Code for our ICLR 2022 paper "VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects"
PKU-DAIR/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
jpthu17/EMCL
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
OpenVPN/openvpn
OpenVPN is an open source VPN daemon
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
CEA-LIST/RPCDataloader
A variant of the PyTorch Dataloader using remote workers.
ildoonet/remote-dataloader
PyTorch DataLoader processed in multiple remote computation machines for heavy data processings
quantopian/alphalens
Performance analysis of predictive (alpha) stock factors
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
shinnytech/tqsdk-python
天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
vnpy/vnpy
基于Python的开源量化交易平台开发框架
bbfamily/abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
nihui/rife-ncnn-vulkan
RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
Justin62628/Squirrel-RIFE
效果更好的补帧软件,显存占用更小,是DAIN速度的10-25倍,包含抽帧处理,去除动漫卡顿感
baowenbo/DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
googleinterns/IBRNet
tony23545/Deep-Reinforcement-Learning-Reimplementation
Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
SpiritedAwayCN/ElectiveCaptCha
基于某校选课网的验证码预处理与自动识别
saurabhvermaabd98/Applause-Detection_Threshold_Method
Detects Applause present in voice signal and return the start and end time
numediart/LaughterSynthesis
This repository contains laughter-related synthesis systems.