Yihang Yin

fast-graphrag. RAG that intelligently adapts to your use case, data, and queries

lead-lag. Estimation of the lead-lag parameter from non-synchronous data.

Hayashi-Yoshida-estimator. Using Hayashi-Yoshida (HY) cross correlator to estimate lead-lag relationship between two instruments

NLP_ability. 总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

machine-learning-interview. 算法工程师-机器学习面试题总结

transformer. Transformer: PyTorch Implementation of "Attention Is All You Need"

Machine-Learning-Interviews. This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

untrade-sdk. Python

playwright-python. Python version of the Playwright testing and automation library.

scrapy-splash. Scrapy+Splash for JavaScript integration

puppeteer. JavaScript API for Chrome and Firefox

WorldQuant_alpha101_code. Code implementation of the Quantigic 101 Formulaic Alphas

python-binance. Binance Exchange API python implementation for automated trading

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

llm_interview_note. 主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

aleatory. 📦 Python library for Stochastic Processes Simulation and Visualisation

qlora. QLoRA: Efficient Finetuning of Quantized LLMs

llama3. The official Meta Llama 3 GitHub site

Megatron-LM. Ongoing research training transformer models at scale

awesome-AutoML. Curating a list of AutoML-related research, tools, projects and other resources

quant_models_jupyter. Repository of Quantitative Finance Models

goldman-sachs-quantitative-strategies-research-notes. Goldman Sachs - Quantitative Strategies Research Notes

DDSM. Denoising Diffusion Step-aware Models (ICLR2024)

AntSimulator. Simple Ants simulator

leetcode-master. 《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Swin-Transformer-TF. Tensorflow implementation of Swin Transformer model.

DeepLabV3-Plus. Tensorflow 2.3.0 implementation of DeepLabV3-Plus

mmsegmentation. OpenMMLab Semantic Segmentation Toolbox and Benchmark.

CelebAMask-HQ. A large-scale face dataset for face parsing, recognition, generation and editing.

darts. Differentiable architecture search for convolutional and recurrent networks

AutoGL. An autoML framework & toolkit for machine learning on graphs.

gae-pytorch. Graph Auto-Encoder in PyTorch

reverse-interview-zh. 技术面试最后反问面试官的话

adgcl. Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Fast-Multi-Video-Style-Transfer. Python

GraphCL_Automated. [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

tianshou. An elegant PyTorch deep reinforcement learning library.

qlib. Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

pretrain-gnns. Strategies for Pre-training Graph Neural Networks

gfn. Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"

pytorch_sparse. PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

drawio-desktop. Official electron build of draw.io

gae. Implementation of Graph Auto-Encoders in TensorFlow

powerful-gnns. How Powerful are Graph Neural Networks?

pygcn. Graph Convolutional Networks in PyTorch

DADA. [ECCV 2020] DADA: Differentiable Automatic Data Augmentation

pytorch-auto-augment. PyTorch implementation of AutoAugment.

AutoAugment. Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

moco. PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

imgaug. Image augmentation for machine learning experiments.

InfoGraph. Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

pytorch_geometric. Graph Neural Network Library for PyTorch

GraphCL. [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

3D-ResNets-PyTorch. 3D ResNets for Action Recognition (CVPR 2018)

996.ICU. Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Efficient-3DCNNs. PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

3DCDC-NAS. AutoGesture with Temporal Difference Convolutions (TIP'21)

Multimodal-Learning. This repository contains the source code for the paper "Improving the performance of unimodal dynamic hand gesture recognition with multimodal training"

Real-time-GesRec. Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

pix2pix. Image-to-image translation with conditional adversarial nets

vidaug. Effective Video Augmentation Techniques for Training Convolutional Neural Networks

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

AoANet. Code for paper "Attention on Attention for Image Captioning". ICCV 2019

gmu-mmimdb. Source code for training Gated Multimodal Units on MM-IMDb dataset

attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".

Jeni-H.github.io. CSS

mfas. Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"

BUAAthesis. 北航毕设论文LaTeX模板

wavelets. Python implementation of the wavelet analysis found in Torrence and Compo (1998)

pywt. PyWavelets - Wavelet Transforms in Python

pytorch-cifar. 95.47% on CIFAR10 with PyTorch

pytorch_wavelets. Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

kymatio. Wavelet scattering transforms in Python with GPU acceleration

DCFNet. Cuda

pyscatwave. Fast Scattering Transform with CuPy/PyTorch

MWCNNv2. Multi-level Wavelet Convolutional Neural Networks

DCFNet-Pytorch. Pytorch implementation for Decomposed Convolutional Filters Network

SparseScatNet. Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning

dongbei. 东北方言编程语言

optnet. OptNet: Differentiable Optimization as a Layer in Neural Networks

gcForest. This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

tensorboardX. tensorboard for pytorch (and chainer, mxnet, numpy, ...)

numpy-ml. Machine learning, in numpy

qpth. A fast and differentiable QP solver for PyTorch.

mWDN. Python

chainer. A flexible framework of neural networks for deep learning

MetaOptNet. Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

NumpyDL. Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

NumPyCNN. Building Convolutional Neural Networks From Scratch using NumPy

numpy-cnn. A numpy based CNN implementation for classifying images

keras-complex. Keras-Tensorflow implementation of complex-valued convolutional neural networks

pytorch-complex-tensor. Unofficial complex tensor and scalar support for Pytorch

ComplexCNN. pytorch implementation of complex convolutional neural network

pytorch-complex. complex tensor plugin for pytorch (deprecated)

complexPyTorch. A high-level toolbox for using complex valued neural networks in PyTorch

CVNNs. Comlex-valued Neural Networks

LeNet-from-Scratch. Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

cnn. Convolutional Neural Network implemenation from scratch in python numpy

LeNet-python. A tiny implementation of LeNet (without deep learning framework)

deep_complex_networks. Implementation related to the Deep Complex Networks

hypernet-hypertraining. Code for Stochastic Hyperparameter Optimization through Hypernetworks

Flying-Aboard. Some materials which may help you apply for US or HK

thesis. Differentiable Optimization-Based Modeling for Machine Learning

trading-rl. Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Pytorch-Model-to-TensorRT. Python

awesome-3d-human.

MonocularTotalCapture. Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

pythonocc-core. Python package for 3D geometry CAD/BIM/CAM

gym. A toolkit for developing and comparing reinforcement learning algorithms.

superpoint_graph. Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

rllab. rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

pointnet2. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

SPFN. Source code for "Supervised Fitting of Geometric Primitives to 3D Point Clouds" [CVPR 2019].

PolyFit. Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

DQfD. An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

RED. Implementation of Random Expert Distillation

inverse_rl. Python

abc-dataset. ABC: A Big CAD Model Dataset For Geometric Deep Learning

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pytorch-a2c-ppo-acktr-gail. PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PointSetGeneration. Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

3D-Machine-Learning. A resource repository for 3D machine learning

PyTorch-Multi-Style-Transfer. Neural Style and MSG-Net

LaTeX-likeTyporaThemeforChinese. 一个LaTeX风格的Typora主题

Audio2BodyDynamics. Audio To Body Dynamics, CVPR 2018

Auto_Conditioned_RNN_motion. Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

Reinforcement-learning-with-tensorflow. Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

nni. An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

bullet3. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Frida. Frida, AI and IoT comes to the aid of teachers, students, and first responders. A Call for Code project from IBM.

ConvNetQuake. Convolutional Neural Network for Earthquake detection and location

DeepMimic. Motion imitation with deep reinforcement learning.

torchdiffeq. Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

TP-GAN. pytorch implemention for TP-GAN

LiteFlowNet. LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

AlphaPose. Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

VideoPose3D. Efficient 3D human pose estimation in video using 2D keypoint trajectories

bert. TensorFlow code and pre-trained models for BERT

pypianoroll. A toolkit for working with piano rolls

local_conv_music_generation. Python

Awesome-CV. :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

MusicResearch. Python

magenta. Magenta: Music and Art Generation with Machine Intelligence

DeepJ. A deep learning model for style-specific music generation.

MixedRealityToolkit-Unity. This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

keras. Deep Learning for humans

Keras-progressive_growing_of_gans. Keras implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

samples-for-ai. Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

CityVision. CityVision，城景视界项目

playground. Play with neural networks!

TF_PG_GANS. Keras & Tensorflow implementation of [Progressive Growing of GANs for Improved Quality, Stability, and Variation](http://arxiv.org/abs/1710.10196)

mips-cpu. VHDL

3D_Street_View. The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16

ENet. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

caffe-enet. C++

Someday-XeLaTex-Template. Someday's XeLaTex Template