Apurve Yajnik's repositories
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
cachetools
Extensible memoizing collections and decorators
CarND-Behavioral-Cloning-P3
Starting files for the CarND behavioral cloning project (P3)
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
CarND-Vehicle-Detection
Vehicle Detection Project
vespa_testing
Python scripts used for testing vespa
CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
CarND-Unscented-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Econ-Data-Science
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
hugo-PaperMod
A fast, clean, responsive Hugo theme.
python-diskcache
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
spell_correct
Spell checker
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP