Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1458%)
Transformers RuA list of pretrained Transformer models for the Russian language.
Stars: ✭ 150 (+0%)
StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
Stars: ✭ 150 (+0%)
Covid 19 Eda TutorialThis tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
Stars: ✭ 149 (-0.67%)
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%)
Deeplab v2基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
Stars: ✭ 149 (-0.67%)
Learning by associationThis repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
Stars: ✭ 150 (+0%)
Machine Learning🌎 machine learning tutorials (mainly in Python3)
Stars: ✭ 1,924 (+1182.67%)
Ai MatrixTo make it easy to benchmark AI accelerators
Stars: ✭ 151 (+0.67%)
PracticaldlA Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course
Stars: ✭ 149 (-0.67%)
Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Stars: ✭ 1,912 (+1174.67%)
CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
Stars: ✭ 149 (-0.67%)
Book nbsNotebooks for upcoming fastai book (draft / incomplete)
Stars: ✭ 151 (+0.67%)
Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
Stars: ✭ 148 (-1.33%)
SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
Stars: ✭ 150 (+0%)
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%)
TestovoeHome assignments for data science positions
Stars: ✭ 149 (-0.67%)
ParcelsMain code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
Stars: ✭ 148 (-1.33%)
PyomogalleryA collection of Pyomo examples
Stars: ✭ 149 (-0.67%)
Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Stars: ✭ 151 (+0.67%)
Phonetic Similarity VectorsSource code to accompany my paper "Poetic sound similarity vectors using phonetic features"
Stars: ✭ 148 (-1.33%)
Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
Stars: ✭ 150 (+0%)
Pytorch Tutorials Kr🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
Stars: ✭ 148 (-1.33%)
ForecastingTime Series Forecasting Best Practices & Examples
Stars: ✭ 2,123 (+1315.33%)
Deeplearning keras2Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
Stars: ✭ 150 (+0%)
Project kojakTraining a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
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%)
Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
Stars: ✭ 1,913 (+1175.33%)
Covid19Analyses about the COVID-19 virus
Stars: ✭ 149 (-0.67%)
ReferReferring Expression Datasets API
Stars: ✭ 148 (-1.33%)
Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
Stars: ✭ 150 (+0%)
Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
Stars: ✭ 149 (-0.67%)
Ml代码记录
Stars: ✭ 151 (+0.67%)
Ml From ScratchAll the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Stars: ✭ 151 (+0.67%)
Homework fall2020Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Stars: ✭ 149 (-0.67%)