arash-mehrabi-z

arash-mehrabi-z's Stars

• Qv2ray/Qv2ray

  :star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 :star:

  Language:C++16.6k3.3k

• 2dust/v2rayN

  A GUI client for Windows, support Xray core and v2fly core and others

  Language:C#66.5k11.1k

• hongtaoh/cv_emulate

  Academic CVs that you can emulate

  Language:TeX30336

• AdamAdamczak/Mujoco-Reacher-Control-System

  Control Theory in Robotics - Reinforcment Learning / Feedback Linearization Control

  Language:Python1

• mohammadasghari/UC-Berkeley-CS-294-Deep-RL

  Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning

  Language:Python194

• cyoon1729/deep-Q-networks

  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

  Language:Jupyter Notebook26878

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k340

• hqdrt/wikifil

  Matt Mahoney's Wikipedia dump parser

  Language:Perl52

• amnghd/Persian_poems_corpus

  We have collected, cleaned, and prepared most of Persian Poems for NLP tasks. List of stopwords is also provided.

  Language:Python6518

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python15.8k6.5k

• alex8937/CS-10-601-Machine-Learning

  This is a repsitory regarding CS 10-601 by Tom Mitchell

  Language:Jupyter Notebook3

• sksq96/pytorch-summary

  Model summary in PyTorch similar to `model.summary()` in Keras

  Language:Python4k412

• google-deepmind/educational

  Language:Jupyter Notebook1.4k186

• NeuromatchAcademy/course-content-dl

  NMA deep learning course

  Language:Jupyter Notebook743269

• Rafficer/linux-cli-community

  Linux command-line client for ProtonVPN. Written in Python.

  Language:Python1.3k194

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• amitness/learning

  A log of things I'm learning

  6.3k847

• mobilomics/TEcandidates

  TEcandidates

  Language:Shell79

• ababaian/LIONS

  LIONS is a bioinformatic analysis pipeline which brings together a few pieces of software and some home-brewed scripts to annotate a paired-end RNAseq library to detect TE-intiated transcripts

  Language:PostScript2713

• mtokuyama/ERVmap

  ERVmap is one part curated database of human proviral ERV loci and one part a stringent algorithm to determine which ERVs are transcribed in their RNA seq data.

  Language:Perl2113

• xunchen85/VIcaller

  A software to detect virome-wide integrations

  Language:Perl145

• BenLangmead/ads1-slides

  Slides for Algorithms for DNA Sequencing Coursera class

  308218

• BenLangmead/ads1-notebooks

  Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

  359364

• mlbendall/telescope

  Quantification of transposable element expression using RNA-seq

  Language:Python6015

• dpryan79/SE-MEI

  Tools for finding mobile element insertions from single-end datasets

  Language:C2316

• hyunhwan-jeong/SalmonTE

  SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances

  Language:Jupyter Notebook8123

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.4k9k

• xunchen85/ERVcaller

  ERVcaller is a tool designed to accurately detect and genotype non-reference unfixed endogenous retroviruses (ERVs) and other transposable elements (TEs) in the human genome using next-generation sequencing (NGS) data. We evaluated the tools using both simulated and real benchmark whole-genome sequencing (WGS) datasets. ERVcaller is capable to accurately detect various TE insertions of any lengths, particularly ERVs. It allows for the use of a TE reference library regardless of sequence complexity, such as the entire RepBase database. It is easy to install and use with command lines.

  Language:Perl144

• quinlan-lab/applied-computational-genomics

  Applied Computational Genomics Course at UU: Spring 2020

  Language:HTML936204

• stat115/Homework_2020

  Homeworks

  Language:HTML4052