Awesome Financial NlpResearches for Natural Language Processing for Financial Domain
Stars: ✭ 220 (-92.03%)
Handson Ml2A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Stars: ✭ 18,554 (+572.25%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-92.14%)
Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
Stars: ✭ 218 (-92.1%)
Aotodata朱小五写文章涉及到的数据分析,爬虫,源数据
Stars: ✭ 232 (-91.59%)
Pytorch Handbookpytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Stars: ✭ 15,817 (+473.08%)
CardioCardIO is a library for data science research of heart signals
Stars: ✭ 218 (-92.1%)
Intro Numerical MethodsJupyter notebooks and other materials developed for the Columbia course APMA 4300
Stars: ✭ 210 (-92.39%)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
Stars: ✭ 230 (-91.67%)
DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
Stars: ✭ 222 (-91.96%)
Nlp RoadmapROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Stars: ✭ 2,653 (-3.88%)
SkyliftWi-Fi Geolocation Spoofing with the ESP8266
Stars: ✭ 223 (-91.92%)
Comp Genomics ClassCode and examples for JHU Computational Genomics class
Stars: ✭ 228 (-91.74%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (-92.14%)
ShifteratorInterpretable data visualizations for understanding how texts differ at the word level
Stars: ✭ 209 (-92.43%)
ResideEMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Stars: ✭ 222 (-91.96%)
Hardware introductionWhat scientific programmers must know about CPUs and RAM to write fast code.
Stars: ✭ 209 (-92.43%)
LfortranOfficial mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.
Stars: ✭ 220 (-92.03%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (-92.46%)
Bert4doc ClassificationCode and source for paper ``How to Fine-Tune BERT for Text Classification?``
Stars: ✭ 220 (-92.03%)
SmtSurrogate Modeling Toolbox
Stars: ✭ 233 (-91.56%)
NemoNeMo: a toolkit for conversational AI
Stars: ✭ 3,685 (+33.51%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-91.96%)
Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Stars: ✭ 208 (-92.46%)
ConlluA CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.
Stars: ✭ 207 (-92.5%)
Gluon ApiA clear, concise, simple yet powerful and efficient API for deep learning.
Stars: ✭ 2,322 (-15.87%)
Nbviewer.jsClient side rendering of Jupyter notebooks
Stars: ✭ 235 (-91.49%)
Lstm stock predictionThis is an LSTM stock prediction using Tensorflow with Keras on top.
Stars: ✭ 207 (-92.5%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (-6.27%)
OsumapperAn automatic beatmap generator using Tensorflow / Deep Learning.
Stars: ✭ 207 (-92.5%)
Snap N EatFood detection and recommendation with deep learning
Stars: ✭ 229 (-91.7%)
Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
Stars: ✭ 207 (-92.5%)
SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
Stars: ✭ 221 (-91.99%)
Blazeface PytorchThe BlazeFace face detector model implemented in PyTorch
Stars: ✭ 203 (-92.64%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+107.25%)
Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (-91.7%)
LitThe Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
Stars: ✭ 2,721 (-1.41%)
Jsanimation[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations
Stars: ✭ 237 (-91.41%)
YoutubeliGithub repo to upload demo files of youtube videos and linkedin
Stars: ✭ 234 (-91.52%)
Learning PysparkCode repository for Learning PySpark by Packt
Stars: ✭ 233 (-91.56%)
Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
Stars: ✭ 232 (-91.59%)
Decaf ReleaseDecaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!
Stars: ✭ 227 (-91.78%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-92.1%)
Dat7General Assembly's Data Science course in Washington, DC
Stars: ✭ 227 (-91.78%)