tejamoy Goto Github PK

2019-ncov

Artificial Intelligence model for COVID-2019 analysis

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

adaptive-regularization-neural-network

[NeurIPS'19] [PyTorch] Adaptive Regularization in NN

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

alpaca_tech_screener

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

ancient-text-restoration

Restoring ancient text using deep learning: a case study on Greek epigraphy.

audit-ai

detect demographic differences in the output of machine learning models or other assessments

automl

Google Brain AutoML

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bhavcopy

Pythonic version bhavcopy. Downloads the EOD data from the last date downloaded

bhavcopy-1

Fetches bhavCopy and display Market breadth

biopandas

Working with molecular structures in pandas DataFrames

bmw-tensorflow-inference-api-gpu

This is a repository for an object detection inference API using the Tensorflow framework.

bmw-tensorflow-training-gui

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.

book_list

Python, Machine Learning, Deep Learning and Data Science Books

botorch

Bayesian optimization in PyTorch

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

calcbsimpvol

Calculate Black Scholes Implied Volatility - Vectorwise

candlestick-patterns

Candlestick patterns detector

capmarket

carla

Open-source simulator for autonomous driving research.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.