Feynman27
Scientist, runner, swimmer. Formerly a high-energy nuclear/particle physicist at CERN (ATLAS).
Boston
Pinned Repositories
awesome-d3
A list of D3 libraries, plugins and utilities
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
code_HI
Macros/code for running analysis on W bosons in HI collisions
code_Hip
Macros/code for W analysis in proton-lead collisions
PythonSandbox
Python scripts for data science exercises
pytorch-detect-rfcn
Pytorch implementation of RFCN used as baseline for Imagenet VID+DET in https://arxiv.org/abs/1710.03958.
pytorch-detect-to-track
A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)
realtime-action-detection
This repository host the code for real-time action detection paper
UnbalancedDataset
Python module to perform under sampling and over sampling with various techniques.
Feynman27's Repositories
Feynman27/pytorch-detect-to-track
A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)
Feynman27/pytorch-detect-rfcn
Pytorch implementation of RFCN used as baseline for Imagenet VID+DET in https://arxiv.org/abs/1710.03958.
Feynman27/realtime-action-detection
This repository host the code for real-time action detection paper
Feynman27/PythonSandbox
Python scripts for data science exercises
Feynman27/UnbalancedDataset
Python module to perform under sampling and over sampling with various techniques.
Feynman27/awesome-d3
A list of D3 libraries, plugins and utilities
Feynman27/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Feynman27/csv-schema
Analyzes a CSV file and generates database table schema, all within the browser
Feynman27/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Feynman27/datasciencetools
Tools I have developed for use in data science tasks
Feynman27/dec
Feynman27/deep-learners
Deep Learning Study Group
Feynman27/deep-learning-tutorial-pydata2016
Deep learning tutorial for PyData London 2016
Feynman27/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Feynman27/faster_rcnn_pytorch
Faster RCNN with PyTorch
Feynman27/FPN
Feature Pyramid Network
Feynman27/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Feynman27/HIMuonSkimming
Code for skimming HI data for muons and subsequently locating W candidates
Feynman27/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
Feynman27/learning-spark
Example code from Learning Spark book
Feynman27/LeetCode
Solutions of All 333 LeetCode Questions
Feynman27/models
Models built with TensorFlow
Feynman27/outlace.github.io
Blog
Feynman27/paper_notes
Notes from ML papers
Feynman27/pegasus
VM based deployment for prototyping Big Data tools on Amazon Web Services
Feynman27/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
Feynman27/pytorch-faster-rcnn
Feynman27/ScalableML_Projects
Feynman27/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
Feynman27/udacity-deep-learning
Udacity Deep Learning MOOC assignments