Abhishek Singh's repositories
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
pytorch-balanced-sampler
PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced training distribution.
XGAN
Domain to domain translation using Generative Adversarial Networks (GANs)
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
awesome-github-profile-readme-templates
This repository contains best profile readme's for your reference.
ydata-synthetic
Open repository with GAN architectures for tabular data implemented using Tensorflow 2.0.
Best-README-Template
An awesome README template to jumpstart your projects!
DeepLearning
Deep Learning introduction and its application in various fields
comp
Guides focused on fundamental computer science concepts
pke
Python Keyphrase Extraction module
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
GetCards
Notebook to download machine learning flashcards
ml-system-design-pattern
System design patterns for machine learning
MachineHack-ZS-Drug-Switch
1st place on the leaderboard solution for the ZS hackathon conducted by MachineHack.
awesome-ai-residency
List of AI Residency Programs
machine_learning_examples
A collection of machine learning examples and tutorials.
attention-learn-to-route
Attention based model for learning to solve different routing problems
pandas-cookbook
Recipes for using Python's pandas library
Kaggle-Severstal
14th Place Solution for Kaggle Severstal Competition
deep-reinforcement-learning-notes
Deep Reinforcement Learning Notes
awesome-ai-infrastructures
Infrastructures™ for Machine Learning Training/Inference in Production.
Concept-Drift-and-Model-Decay
Evaluating model decay as the underlying concepts for classification evolve
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
datasharing
The Leek group guide to data sharing
data_utilities
Utilities for processing the xView dataset