Pinned Repositories
apurveyajnik
apurveyajnik.github.io
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
cachetools
Extensible memoizing collections and decorators
CarND-Advanced-Lane-Lines
CarND-Behavioral-Cloning-P3
Starting files for the CarND behavioral cloning project (P3)
CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
CarND-Vehicle-Detection
Vehicle Detection Project
DeepLearning-stuff
vespa_testing
Python scripts used for testing vespa
apurveyajnik's Repositories
apurveyajnik/apurveyajnik.github.io
apurveyajnik/DeepLearning-stuff
apurveyajnik/apurveyajnik
apurveyajnik/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
apurveyajnik/cachetools
Extensible memoizing collections and decorators
apurveyajnik/CarND-Advanced-Lane-Lines
apurveyajnik/CarND-Behavioral-Cloning-P3
Starting files for the CarND behavioral cloning project (P3)
apurveyajnik/CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
apurveyajnik/CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
apurveyajnik/CarND-Vehicle-Detection
Vehicle Detection Project
apurveyajnik/vespa_testing
Python scripts used for testing vespa
apurveyajnik/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
apurveyajnik/CarND-Unscented-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
apurveyajnik/Coursera_ML
apurveyajnik/Econ-Data-Science
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
apurveyajnik/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.
apurveyajnik/Employee-Salary-prediction
apurveyajnik/fastbook
The fastai book, published as Jupyter Notebooks
apurveyajnik/FinQA
Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"
apurveyajnik/gym
A toolkit for developing and comparing reinforcement learning algorithms.
apurveyajnik/ipython-soccer-predictions
Sample iPython notebook with soccer predictions
apurveyajnik/kapre
kapre: Keras Audio Preprocessors
apurveyajnik/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
apurveyajnik/models
Models and examples built with TensorFlow
apurveyajnik/python-diskcache
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
apurveyajnik/pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
apurveyajnik/sherlock
🔎 Hunt down social media accounts by username across social networks
apurveyajnik/spell_correct
Spell checker
apurveyajnik/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
apurveyajnik/work-on-multipe-datasets