Mehty

Mehty's Stars

• NumbersStationAI/NSQL

  Numbers Station Text to SQL model code.

  Language:Python23130

• loft-br/xgboost-survival-embeddings

  Improving XGBoost survival analysis with embeddings and debiased estimators

  Language:Python32152

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python1.9k313

• cyrildiagne/ar-cutpaste

  Cut and paste your surroundings using AR

  Language:TypeScript14.6k2.1k

• facebookresearch/MUSE

  A library for Multilingual Unsupervised or Supervised word Embeddings

  Language:Python3.2k553

• emilwallner/Screenshot-to-code

  A neural network that transforms a design mock-up into a static website.

  Language:HTML16.4k1.6k

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.7k1.2k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k4k

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• uber-research/go-explore

  Code for Go-Explore: a New Approach for Hard-Exploration Problems

  Language:Python55899

• kimiyoung/transformer-xl

  Language:Python3.6k762

• TeamHG-Memex/deep-deep

  Adaptive crawler which uses Reinforcement Learning methods

  Language:Jupyter Notebook17036

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k2.2k

• norvig/paip-lisp

  Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"

  Language:Common Lisp7.2k702

• AnswerDotAI/fastprogress

  Simple and flexible progress bar for Jupyter Notebook and console

  Language:Jupyter Notebook1.1k105

• avolkov1/keras_experiments

  Experimental Keras libraries and examples.

  Language:Python8616

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.5k

• google/ffn

  Flood-Filling Networks for instance segmentation in 3d volumes.

  Language:Python319101

• mila-iqia/platoon

  Multi-GPU mini-framework for Theano

  Language:Python19541

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.3k

• navjindervirdee/2048-deep-reinforcement-learning

  Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

  Language:Jupyter Notebook21254

• tensorflow/workshops

  A few exercises for use at events.

  Language:Jupyter Notebook1.5k679

• UW-Side-Project-Club/Aurora

  Using Computer Vision to help the visually impaired

  Language:Swift1

• psal/anonymouth

  Language:Java1.9k167

• mouuff/mtranslate

  A simple api for google translate

  Language:Python28783

• hamuchiwa/AutoRCCar

  OpenCV Python Neural Network Autonomous RC Car

  Language:Python3.3k1.5k

• Hironsan/anago

  Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

  Language:Python1.5k367

• guillaumegenthial/sequence_tagging

  Named Entity Recognition (LSTM + CRF) - Tensorflow

  Language:Python1.9k702

• Franck-Dernoncourt/NeuroNER

  Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

  Language:Python1.7k475

• abhyudaynj/LSTM-CRF-models

  LSTM-CRF models for sequence labeling in text.

  Language:Python17457