bhshri
Pursuing M.Tech in Machine Learning in DAIICT,Gandhinagar,Gujarat. Data is the new goldmine and I want to mine it with my skills in Machine Learning.
Gandhinagar,Gujarat
bhshri's Stars
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
ivan-bilan/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
kakaobrain/pororo
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
UKPLab/EasyNMT
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
AlexTheAnalyst/PortfolioProjects
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
ashishpatel26/Amazing-Feature-Engineering
Feature 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.
xiongma/transformer-pointer-generator
A Abstractive Summarization Implementation with Transformer and Pointer-generator
clinicalml/embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
dipanjanS/tensorflow2-crash-course
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
Ronak-59/Stock-Prediction
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
rishabhk108/AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
panushri25/emrQA
Code for the emrQA question answering dataset
Geo-Joy/Deep-Learning-for-Time-Series-Forecasting
This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
edyoda/pyspark-tutorial
PySpark Code for Hands-on Learners
narVidhai/tamil-nlp-catalog
Awesome List of Tamil NLP & AI Resources
LogiTorch/logitorch
LogiTorch is a PyTorch-based library for logical reasoning on natural language
we-shall/Stock-Prediction
The git is about Indian Stock market prediction.
fabridamicelli/echoes
Machine Learning with Echo State Networks, a scikit-learn compatible package.
anjalysam/Hadoop
This contain how to install Hadoop on google colab and how to run map-reduce in Hadoop
janithmehta/StockMarketPrediction
This is a webapp which predicts stock prices for Indian stock markets(can be used for other stock markets as well) using both fundamental and technical analysis
ambikabohra/Stock-Market-Prediction
werowe/SparkPythonUDF