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:
2dust/v2rayN
A GUI client for Windows, support Xray core and v2fly core and others
hongtaoh/cv_emulate
Academic CVs that you can emulate
AdamAdamczak/Mujoco-Reacher-Control-System
Control Theory in Robotics - Reinforcment Learning / Feedback Linearization Control
mohammadasghari/UC-Berkeley-CS-294-Deep-RL
Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning
cyoon1729/deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
hqdrt/wikifil
Matt Mahoney's Wikipedia dump parser
amnghd/Persian_poems_corpus
We have collected, cleaned, and prepared most of Persian Poems for NLP tasks. List of stopwords is also provided.
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
alex8937/CS-10-601-Machine-Learning
This is a repsitory regarding CS 10-601 by Tom Mitchell
sksq96/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
google-deepmind/educational
NeuromatchAcademy/course-content-dl
NMA deep learning course
Rafficer/linux-cli-community
Linux command-line client for ProtonVPN. Written in Python.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
amitness/learning
A log of things I'm learning
mobilomics/TEcandidates
TEcandidates
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
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.
xunchen85/VIcaller
A software to detect virome-wide integrations
BenLangmead/ads1-slides
Slides for Algorithms for DNA Sequencing Coursera class
BenLangmead/ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
mlbendall/telescope
Quantification of transposable element expression using RNA-seq
dpryan79/SE-MEI
Tools for finding mobile element insertions from single-end datasets
hyunhwan-jeong/SalmonTE
SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
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.
quinlan-lab/applied-computational-genomics
Applied Computational Genomics Course at UU: Spring 2020
stat115/Homework_2020
Homeworks