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adaptive-regularization-neural-network

[NeurIPS'19] [PyTorch] Adaptive Regularization in NN

agrl.pytorch

Implementation for "Adaptive Graph Representation Learning for Video Person Re-identification"

aixcoder-7b

official repository of aiXcoder-7B Code Large Language Model

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

credit_risk_model

A comprehensive credit risk model and scorecard using data from Lending Club

creditriskcscorecard

credit risk score card develop by python(version 3.6)

data-science--cheat-sheet

Cheat Sheets

datasciencepractice

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepfakedetection

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deploying-score-card-model

Machine Learning Model Deployment Project: Lending Club Loan Score Card Model

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

face2vec

Fast and accurate face recognition combining CV and DNNs

fake_news_detection_deep_learning

Fake News Detection using Deep Learning models in Tensorflow

flask-restplus-boilerplate

A boilerplate for flask restful web service

flask_api_with_jwt

A Flask Boilerplate with JWT Implementation

generative-language-models-for-opinion-mining

Generate customer reviews by GPT-2 model finetuned on organic dataset

health-insurance-lead-prediction

Health Insurance Lead Prediction

iacah

India Academia Connect AI Hackathon October 2021

image-denoising-with-convolutional-denoising-autoencoders

Image denoising using convolutional denoising autoencoders

image_processing

Image Processing techniques using OpenCV and Python.

intensitycalbr

Intensity calibration procedure for spectrometers using multichannel detectors using spectroscopic intensity ratios as standards. (This is for relative intensity calibration and data from all available Raman bands are treated simultaneously to get wavelength/wavenumber dependent sensitivity after performing the established steps for intensity calibration.)

intensitycreditmodels

Code used to implement various stochastic intensity models for univariate and multivariate credit risk models.

jobathon_3

This repo contains code related to the Jobathon September, conducted by Analytics Vidhya

keras-multiprocess-image-data-generator

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

learnopencv

Learn OpenCV : C++ and Python Examples

lip-reading-deeplearning

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures