X2facePytorch code for ECCV 2018 paper
Stars: ✭ 204 (-15%)
Learning PysparkCode repository for Learning PySpark by Packt
Stars: ✭ 233 (-2.92%)
ClandmarkOpen Source Landmarking Library
Stars: ✭ 204 (-15%)
HtmresearchExperimental algorithms. Unsupported.
Stars: ✭ 221 (-7.92%)
AravecAraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
Stars: ✭ 239 (-0.42%)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Stars: ✭ 2,617 (+990.42%)
Uc2 GitRespository for Open-Science modular microscope system.
Stars: ✭ 203 (-15.42%)
Ml Web AppTrain and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask
Stars: ✭ 204 (-15%)
Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (-7.92%)
Tensorflow Deep LearningAll course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Stars: ✭ 170 (-29.17%)
Pydqcpython automatic data quality check toolkit
Stars: ✭ 233 (-2.92%)
Data KitDevenez Data-Scientist sur Le Wagon On Demand
Stars: ✭ 202 (-15.83%)
Road lane line detectionFind lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms
Stars: ✭ 202 (-15.83%)
Automl serviceDeploy AutoML as a service using Flask
Stars: ✭ 202 (-15.83%)
Timeseries fastaifastai V2 implementation of Timeseries classification papers.
Stars: ✭ 221 (-7.92%)
GeostatspyGeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
Stars: ✭ 200 (-16.67%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (-15.83%)
FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
Stars: ✭ 220 (-8.33%)
Snap N EatFood detection and recommendation with deep learning
Stars: ✭ 229 (-4.58%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+1103.33%)
Spark Fm ParallelsgdImplementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Stars: ✭ 220 (-8.33%)
Cs231nmy assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition
Stars: ✭ 201 (-16.25%)
Lsstc Dsfp SessionsLecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
Stars: ✭ 201 (-16.25%)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stars: ✭ 220 (-8.33%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-16.25%)
Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (-4.58%)
RosettaTools, wrappers, etc... for data science with a concentration on text processing
Stars: ✭ 200 (-16.67%)
Learningdl三个月教你从零入门深度学习Tensorflow版配套代码
Stars: ✭ 238 (-0.83%)
Spark PracticeApache Spark (PySpark) Practice on Real Data
Stars: ✭ 200 (-16.67%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-9.17%)
RopstenRopsten public testnet PoW chain
Stars: ✭ 199 (-17.08%)
Pytorch Transformers ClassificationBased on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Stars: ✭ 229 (-4.58%)
W Netw-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
Stars: ✭ 200 (-16.67%)
Hacktoberfest2020A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.
Stars: ✭ 221 (-7.92%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-16.67%)
SocceractionConvert existing soccer event stream data to SPADL and value player actions
Stars: ✭ 234 (-2.5%)
Kitti DatasetVisualising LIDAR data from KITTI dataset.
Stars: ✭ 217 (-9.58%)
DatascienceData Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Stars: ✭ 239 (-0.42%)
End2end All ConvDeep Learning to Improve Breast Cancer Detection on Screening Mammography
Stars: ✭ 236 (-1.67%)
Covid Chestxray DatasetWe are building an open database of COVID-19 cases with chest X-ray or CT images.
Stars: ✭ 2,759 (+1049.58%)
Dlwpt CodeCode for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Stars: ✭ 3,054 (+1172.5%)