CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
Stars: ✭ 149 (-0.67%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1458%)
ReferReferring Expression Datasets API
Stars: ✭ 148 (-1.33%)
Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
Stars: ✭ 1,913 (+1175.33%)
Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
Stars: ✭ 148 (-1.33%)
Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Stars: ✭ 1,912 (+1174.67%)
DeeplearningbookRepositório do Deep Learning Book - www.deeplearningbook.com.br
Stars: ✭ 150 (+0%)
Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (-2.67%)
Computer visionC/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
Stars: ✭ 150 (+0%)
VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
Stars: ✭ 148 (-1.33%)
D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
Stars: ✭ 148 (-1.33%)
Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Stars: ✭ 147 (-2%)
Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
Stars: ✭ 148 (-1.33%)
Fast Neural StylePytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Stars: ✭ 151 (+0.67%)
Ml代码记录
Stars: ✭ 151 (+0.67%)
Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
Stars: ✭ 149 (-0.67%)
Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
Stars: ✭ 150 (+0%)
SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
Stars: ✭ 150 (+0%)
Data structures and algorithms in python📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
Stars: ✭ 147 (-2%)
Fifa 2018 World Cup PredictionsI used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.
Stars: ✭ 151 (+0.67%)
Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And GanProject analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Stars: ✭ 150 (+0%)
BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
Stars: ✭ 146 (-2.67%)
Transformers RuA list of pretrained Transformer models for the Russian language.
Stars: ✭ 150 (+0%)
Deep LearningDeep Learning Application Examples
Stars: ✭ 147 (-2%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-2%)
Book nbsNotebooks for upcoming fastai book (draft / incomplete)
Stars: ✭ 151 (+0.67%)
TestovoeHome assignments for data science positions
Stars: ✭ 149 (-0.67%)
Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
Stars: ✭ 147 (-2%)
Python4dsJupyter Notebooks used on my DataScience projects
Stars: ✭ 147 (-2%)