asmitapoddar
Graduate Student in Computer Science at University of Oxford. Machine Learning Researcher - AI for Healthcare.
University of OxfordOxford, United Kingdom
asmitapoddar's Stars
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
sebastianruder/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.
mlflow/mlflow
Open source platform for the machine learning lifecycle
openai/gpt-3
GPT-3: Language Models are Few-Shot Learners
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
facebookresearch/detr
End-to-End Object Detection with Transformers
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
optuna/optuna
A hyperparameter optimization framework
tensorflow/nmt
TensorFlow Neural Machine Translation Tutorial
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
salesforce/ctrl
Conditional Transformer Language Model for Controllable Generation
replicate/keepsake
Version control for machine learning
uber/manifold
A model-agnostic visual debugging tool for machine learning
samtools/samtools
Tools (written in C using htslib) for manipulating next-generation sequencing data
lyeoni/nlp-tutorial
A list of NLP(Natural Language Processing) tutorials
BlackHC/toma
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
shuohangwang/SeqMatchSeq
davidaknowles/leafcutter
Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard
OxfordCodeReviewNet/forum
A central repository to coordinate code reviews between researchers at the University of Oxford
nathanshammah/make-your-code-count
Create an open-source library in Python for your scientific research.
atulkum/co-attention
Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
OxML2020/practicals
ailabstw/COVID19-taiwan
Release COVID-19 (SARS-CoV-2) FDA / NHI drugs screening results.
asmitapoddar/Deep-Learning-DNA-Sequences
Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).
asmitapoddar/question-answering-SQuAD2.0-dcn
Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).
oishi-poddar/Sentiment-Analysis-of-comments-on-Youtube-videos
Used the Naive Bayes algorithm to analyse the sentiment on comments on YouTube videos
y-richie-y/no_eating_no_drinking
asmitapoddar/Autoencoder-ATLAS
Autoencoder-ATLAS: codes for implementation of autoencoder-decoder network to compress the data from the ATLAS experiments from 4 to 3 variables, and reconstruct the compressed data.
oishi-poddar/Analytics-of-Group-Learning-Environment
A customizable group learning application with various group learning tools such as quiz, polls, notes, assignments, discussion forum, videoconference.