Li-Chenqhao's Stars
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
tmux/tmux
tmux source code
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
MingchaoZhu/DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
brendenlake/omniglot
Omniglot data set for one-shot learning
cvxgrp/cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
CasperVector/pkuthss
LaTeX template for dissertations in Peking University
znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
tengyuma/cs229m_notes
sangwoomo/ml-resources
Personal and biased selection of ML resources
kimmo1019/Roundtrip
Roundtrip: density estimation with deep generative neural networks
Lornatang/CGAN-PyTorch
Simple implementation of conditional general adverse nets in pytorch machine learning framework
mloesch/baposter
A nifty LaTeX Poster Class
sisl/variational_koopman
Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019.
stxupengyu/Stochastic-Process-Ross-2nd-edition
Here is the exercise solution of stochastic process Ross 2nd Edition collected by the author. The answers are from the stochastic process courses of Umich, Columbia University and BJTU respectively. Due to the different assignments assigned by each teacher, the answers provided by each university are not complete, for your comprehensive reference.
huxuan/pkuthss-slide
A simple LaTeX beamer template for thesis defense slide in Peking University.
AKASHKADEL/dcgan-mnist
PyTorch Implementation of DCGAN
ttchengab/MnistGAN
burning489/ConditionalFollmerFlow
Official Implementations for `Deep Conditional Generative Learning: Model and Error Analysis`
sntaoo/PKUMailboxLogin
非常非常非常简单的pku邮箱登录器,防止毕业生半年不登录邮箱使得邮箱失效
Bostjm/Simulation-code
Simulation code for two stage neural network estimator