pranjalchaubey

pranjalchaubey's Stars

• JohnSnowLabs/spark-nlp-workshop

  Public runnable examples of using John Snow Labs' NLP for Apache Spark.

  Language:Jupyter Notebook1k603

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python36k3.1k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9k2k

• MarwanDebbiche/post-tuto-deployment

  Build and deploy a machine learning app from scratch 🚀

  Language:Python391103

• sksq96/pytorch-summary

  Model summary in PyTorch similar to `model.summary()` in Keras

  Language:Python4k414

• GRAAL-Research/poutyne

  A simplified framework and utilities for PyTorch

  Language:Python57164

• szymonmaszke/torchlayers

  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

  Language:Python56946

• abhishekkrthakur/bert-sentiment

  Language:Python270101

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python6k1.2k

• Harvey-Sun/World_Quant_Alphas

  World Quant 101 alphas的计算和策略化

  Language:Python22790

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.1k8.5k

• areed1192/td-ameritrade-python-api

  Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API and allows users to build data pipelines for the Streaming API.

  Language:Python682250

• ThomasGrivaz/ai-for-trading

  code repository for Udacity nanodegree Artificial Intelligence for Trading

  Language:Jupyter Notebook9256

• rsheftel/pandas_market_calendars

  Exchange calendars to use with pandas for trading applications

  Language:Python804173

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python195k45.8k

• stared/livelossplot

  Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

  Language:Python1.3k142

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.5k2.8k

• johannfaouzi/pyts

  A Python package for time series classification

  Language:Python1.8k165

• IndicoDataSolutions/finetune

  Scikit-learn style model finetuning for NLP

  Language:Python70380

• the-black-knight-01/Data-Science-Competitions

  Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

  801216

• robsalgado/personal_data_science_projects

  Language:Jupyter Notebook315243

• kylejusticemagnuson/pyti

  Python library of various financial technical indicators

  Language:Python660165

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.2k6.3k

• yogeshhk/TeachingDataScience

  Course notes for Data Science related topics, prepared in LaTeX

  Language:Jupyter Notebook261134

• lolipopshock/loss-prettifier

  A handy Python function that prints your model training loss change like stock index.

  Language:Python255

• jdepoix/youtube-transcript-api

  This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!

  Language:Python3.1k347

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.6k7.9k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• dmbee/seglearn

  Python module for machine learning time series:

  Language:Python57363