BenjaminEngelman

BenjaminEngelman's Stars

• nasa/fprime

  F´ - A flight software and embedded systems framework

  Language:C++10.3k1.4k

• spragunr/deep_q_rl

  Theano-based implementation of Deep Q-learning

  Language:Python1.1k348

• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

  Language:Python1.8k269

• microsoft/tensorwatch

  Debugging, monitoring and visualization for Python Machine Learning and Data Science

  Language:Jupyter Notebook3.4k362

• mherrmann/fbs-tutorial

  Tutorial for creating Python/Qt GUIs with fbs

  Language:Python2k162

• nok/sklearn-porter

  Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

  Language:Python1.3k169

• pytorch/glow

  Compiler for Neural Network hardware accelerators

  Language:C++3.3k700

• covid-be-app/cwa-app-android

  Native Android app using the Apple/Google exposure notification API.

  Language:Kotlin5310

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.7k1.1k

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++21.2k4.2k

• thtrieu/darkflow

  Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

  Language:Python6.1k2.1k

• DavidEngelman/autoBlurGCP

  Language:Shell1

• DavidEngelman/autoBlur

  Language:C++1

• fabiopardo/tonic

  Tonic RL library

  Language:Python40645

• jantic/DeOldify

  A Deep Learning based project for colorizing and restoring old images (and video!)

  Language:Python18.3k2.6k

• ExpDev07/coronavirus-tracker-api

  🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!

  Language:Python1.6k319

• DavidEngelman/covid-19-viz

  web interface to visualize the covid-19 data

  Language:HTML4

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.7k1k

• DavidEngelman/thesis

  Master Thesis

  Language:Jupyter Notebook2

• bonaert/explainable_rl

  Master thesis work: explaining deep reinforcement learning policies

  Language:Jupyter Notebook81

• google-deepmind/rlax

  Language:Python1.3k91

• superkley/dl-playground

  Deep Learning Playground using Keras + TensorFlow

  Language:Jupyter Notebook32

• utterworks/fast-bert

  Super easy library for BERT based NLP models

  Language:Python1.9k341

• RunzheYang/MORL

  Multi-Objective Reinforcement Learning

  Language:Python26552

• charles9n/bert-sklearn

  a sklearn wrapper for Google's BERT model

  Language:Jupyter Notebook30070

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3.2k271

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.6k1.6k

• chiphuyen/python-is-cool

  Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

  Language:Jupyter Notebook3.6k564

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k327

• zaidalyafeai/Notebooks

  Machine learning notebooks in different subjects optimized to run in google collaboratory

  Language:Jupyter Notebook37181