pk1130
UMD Computer Science '22 | @umd-fire-coml Machine Learning Research Fellow | Former Data science intern at Crayon Data
@umd-fire-coml @clarissa-aiCollege Park, Maryland, MD
pk1130's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
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.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
SimplifyJobs/New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
google-research/vision_transformer
src-d/awesome-machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
GoogleTrends/data
An index of all open-source data
nyu-mll/jiant
jiant is an nlp toolkit
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
murtazahassan/Learn-OpenCV-in-3-hours
neulab/Text-Summarization-Papers
An Exhaustive Paper List for Text Summarization
marketneutral/alphatools
Quantitative finance research tools in Python
pfliu-nlp/Named-Entity-Recognition-NER-Papers
An elaborate and exhaustive paper list for Named Entity Recognition (NER)
jwasham/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
nd-ball/py-irt
Bayesian IRT models in Python
Trekky12/kburns-slideshow
generate slideshow movies with Ken Burns effect on images
JudePark96/awesome-nlp-references
A curated list of resources dedicated to Knowledge Distillation, Recommendation System, especially Natural Language Processing (NLP).
chamorajg/pytorch_depth_and_motion_planning
This project is an unofficial PyTorch implementation of https://github.com/google-research/google-research/tree/master/depth_and_motion_learning
facebookresearch/irt-leaderboard
Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard where latent subject skill and latent item difficulty predict correct responses. Using this model, we analyze the reliability of leaderboards. Afterwards, we show the model can guide what annotate, identify annotation errors, detect overfitting, and identify informative examples.
eaishwa/quora-insincere-ques-detection-XLNET
XLNET model to detect insincere questions on Quora!!
aditisundar/cmsc470
Study guide for CMSC470 Natural Language Processing
pk1130/Intelli-waste
SFHacks 2021
ZAFERSHAMIM/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.