Puneet Tomar's Projects
:alarm_clock: AI conference deadline countdowns
Open source code for AlphaFold.
Guide to Installation of Archlinux and other settings
The most cited deep learning papers
🌟 My personal "awesome" list of Go code, tools, books, and learning resources. I'm very picky about what makes it on. Want to learn Go? Start here.
Official git repository for Biopython (originally converted from CVS)
upstream mirror
Use PyWren over IBM Cloud Functions to perform face recognition deep learning
Deep Learning Papers on Medical Image Analysis
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
Prediction of B-cell epitopes from amino acid sequences using deep neural networks.
Python package and command line tool for epitope prediction
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
The world's simplest facial recognition api for Python and the command line
The fastai deep learning library, plus lessons and tutorials
Library for fast text representation and classification.
GloVe model for distributed word representation
icon collection
iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.
Vim + LaTeX snippets setup
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
Basic concepts of pyhton language
MMseqs2: ultra fast and sensitive search and clustering suite
Models and examples built with TensorFlow
The fundamental package for scientific computing with Python.
An HPC workload manager and job scheduler for desktops, clusters, and clouds.