12426 Repositories
Python Predicting-Tweet-Sentiment-Maching-Learning-and-streamlit Libraries
TAPEX: Table Pre-training via Learning a Neural SQL Executor
TAPEX: Table Pre-training via Learning a Neural SQL Executor The official repository which contains the code and pre-trained models for our paper TAPE
[ICCV21] Self-Calibrating Neural Radiance Fields
Self-Calibrating Neural Radiance Fields, ICCV, 2021 Project Page | Paper | Video Author Information Yoonwoo Jeong [Google Scholar] Seokjun Ahn [Google
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN).
arXiv, porject page, paper Blind Image Decomposition (BID) Blind Image Decomposition is a novel task. The task requires separating a superimposed imag
[ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.
Deep Relational Metric Learning This repository is the official PyTorch implementation of Deep Relational Metric Learning. Framework Datasets CUB-200-
🖥️ Windows Batch and powershell Discord Token grabber. Made for Troll (lmao)
Batched-Grabber Windows Batch and powershell Discord Token grabber. Made for Troll ! Setup. 1. pip(3) install numpy colored 2. python(3) Batched.py 3.
Tools to connect to and interact with the Mila cluster
milatools The milatools package provides the mila command, which is meant to help with connecting to and interacting with the Mila cluster. Install Re
A script to generate a profile picture and a banner that show the same image on Discord.
Discord profile picture & banner generator A script to generate a profile picture and a banner that show the same image on Discord. Installation / Upd
This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.
Self Driving Car An autonomous car (also known as a driverless car, self-driving car, and robotic car) is a vehicle that is capable of sensing its env
Libraries, tools and tasks created and used at DeepMind Robotics.
Libraries, tools and tasks created and used at DeepMind Robotics.
Learning Open-World Object Proposals without Learning to Classify
Learning Open-World Object Proposals without Learning to Classify Pytorch implementation for "Learning Open-World Object Proposals without Learning to
theHasher Tool created for generate strong and unbreakable passwords by using Hash Functions.Generate Hashes and store them in txt files.Use the txt files as lists to execute Brute Force Attacks!
$theHasher theHasher is a Tool for generating hashes using some of the most Famous Hashes Functions ever created. You can save your hashes to correspo
Voice of Pajlada with model and weights.
Pajlada TTS Stripped down version of ForwardTacotron (https://github.com/as-ideas/ForwardTacotron) with pretrained weights for Pajlada's (https://gith
Download Photo and Video from Wall of specific user or community
vkontakte-downloader Download Photo and Video from Wall of specific User or Community on https://vk.com Setup Clone the project git clone https://gith
This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular intervals.It sends out the most recent news at random!
Nepali-news-notifier This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular in
Terminal based YouTube player and downloader
termitube NOTE: THIS REPOSITORY IS A FORK OF mps-youtube as mps-youtube has been unmaintained for almost a year now. Features Search and play audio/vi
UdemyPy is a bot that hourly looks for Udemy free courses and post them in my Telegram Channel: Free Courses.
UdemyPy UdemyPy is a bot that hourly looks for Udemy free courses and post them in my Telegram Channel: Free Courses. How does it work? For publishing
FreezeUI is a python package that creates applications using cx_freeze and GUI by converting .py to .exe .
FreezeUI is a python package use to create cx_Freeze setup files and run them to create applications and msi from python scripts (converts .py to .exe or .msi .
A full-fledged discord bot with moderation and a lot more.
HOT-BOT-POL-POT ⭐ Star me on GitHub m'lady.... hot-bot-pol-pot is a moderation discord bot written using enhanced-dpy library with many functionalitie
A collection of design patterns and idioms in Python (With tests!).
Python Patterns Help the project financially: Donate: https://smartlegion.github.io/donate/ Yandex Money: https://yoomoney.ru/to/4100115206129186 PayP
Deep Learning for 3D Point Clouds: A Survey (IEEE TPAMI, 2020)
🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
pyntcloud is a Python library for working with 3D point clouds.
pyntcloud is a Python library for working with 3D point clouds.
praudio provides audio preprocessing framework for Deep Learning audio applications
praudio provides objects and a script for performing complex preprocessing operations on entire audio datasets with one command.
A compatability shim between Discord.py and Hikari.
Usage as a partial shim: import discord import hikari import hikari_shim dpy_bot = discord.Client(intents=discord.Intents.all(), enable_debug_events=
🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"
SGLKT-VisDial Pytorch Implementation for the paper: Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer Gi-Cheon Kang, Junseok P
Cross-platform config and manager for click console utilities.
climan Help the project financially: Donate: https://smartlegion.github.io/donate/ Yandex Money: https://yoomoney.ru/to/4100115206129186 PayPal: https
Python collections that are backended by sqlite3 DB and are compatible with the built-in collections
sqlitecollections Python collections that are backended by sqlite3 DB and are compatible with the built-in collections Installation $ pip install git+
Based Telegram Bot and Userbot To Play Music in Your Telegram Groups With Some Cool Extra Features! 🥰
CallMusicPlus69 This Repo base on! 🤗️ A CallsMusic Based Telegram Bot and Userbot To Play Music in Your Telegram Groups With Some Cool Extra Features
A custom prime algorithm, implementation, and performance code & review
Colander A custom prime algorithm, implementation, and performance code & review Pseudocode Algorithm 1. given a number of primes to find, the followi
📦 Opensource Python wrapper for Hiven's REST and WebSocket API
hiven.py 📦 Opensource Python wrapper for Hiven's REST and WebSocket API Installation pip install -U hiven.py Usage hiven.py is currently under devel
Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.
Physion: Evaluating Physical Prediction from Vision in Humans and Machines [paper] Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Y
Cobalt Strike Beacon configuration extractor and parser.
Cobalt Strike Configuration Extractor and Parser Overview Pure Python library and set of scripts to extract and parse configurations (configs) from Co
Deep Learning ❤️ OneFlow
Deep Learning with OneFlow made easy 🚀 ! Carefree? carefree-learn aims to provide CAREFREE usages for both users and developers. User Side Computer V
A simple desktop application to scan and export Genshin Impact Artifacts.
「天目」 -- Amenoma 简体中文 | English 「天目流的诀窍就是滴水穿石的耐心和全力以赴的意志」 扫描背包中的圣遗物,并导出至 json 格式。之后可导入圣遗物分析工具( 莫娜占卜铺 、 MingyuLab 、 Genshin Optimizer 进行计算与规划等。 已支持 原神2.
Docker is an open platform for developing, shipping, and running applications OS-level virtualization to deliver software in packages called containers However, 'security' is a top request on Docker's public roadmap This project aims at vulnerability check for such docker containers. New contributions are accepted
Docker-Vulnerability-Check Docker is an open platform for developing, shipping, and running applications OS-level virtualization to deliver software i
GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations
BatchQL BatchQL is a GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations. This script is not complex, and
PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PaddlePaddle Vision Transformers State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 🤖 PaddlePaddle Visual Transformers (PaddleViT or
Extendable payload obfuscation and delivery framework
NSGenCS What Is? An extremely simple, yet extensible framework to evade AV with obfuscated payloads under Windows. Installation Requirements Currently
Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs
Perceiver IO Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs Usage import torch from src.perceiver.
The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
Codebase for training transformers on systematic generalization datasets. The official repository for our EMNLP 2021 paper The Devil is in the Detail:
Konomi: Kind and Optimized Next brOadcast watching systeM Infrastructure
Konomi 備考・注意事項 現在 α 版で、まだ実験的なプロダクトです。通常利用には耐えないでしょうし、サポートもできません。 安定しているとは到底言いがたい品質ですが、それでも構わない方のみ導入してください。 使い方などの説明も用意できていないため、自力でトラブルに対処できるエンジニアの方以外に
EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong, Kristy Lee*, Zheng Zhang*, Dan Klein EMN
Phomber is infomation grathering tool that reverse search phone numbers and get their details, written in python3.
A Infomation Grathering tool that reverse search phone numbers and get their details ! What is phomber? Phomber is one of the best tools available fo
Sink is a CLI tool that allows users to synchronize their local folders to their Google Drives. It is similar to the Git CLI and allows fast and reliable syncs with the drive.
Sink is a CLI synchronisation tool that enables a user to synchronise local system files and folders with their Google Drives. It follows a git C
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.
A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.
Trex is a tool to match semantically similar functions based on transfer learning.
Trex is a tool to match semantically similar functions based on transfer learning.
Unofficial PyTorch Implementation of UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation
UnivNet UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation This is an unofficial PyTorch
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021) This repository is the official P
The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
CSGStumpNet The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing Paper | Project page
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment This repository shows two tasks: Face landmark detection and Fac
(ICCV'21) Official PyTorch implementation of Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification (ICCV 2021) Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho [paper], [project hompage] We propose t
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Deep Exemplar-based Video Colorization (Pytorch Implementation) Paper | Pretrained Model | Youtube video 🔥 | Colab demo Deep Exemplar-based Video Col
Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision Project | Arxiv | Abstract It is very challenging for various visual tasks such as image
CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)
CrossNorm (CN) and SelfNorm (SN) (Accepted at ICCV 2021) This is the official PyTorch implementation of our CNSN paper, in which we propose CrossNorm
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
CARLA - Counterfactual And Recourse Library CARLA is a python library to benchmark counterfactual explanation and recourse models. It comes out-of-the
[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages
Discriminative Region-based Multi-Label Zero-Shot Learning (ICCV 2021) [arXiv][Project page coming soon] Sanath Narayan*, Akshita Gupta*, Salman Kh
NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions Overview NUANCED is a user-centric conversational recommen
GraphGT: Machine Learning Datasets for Graph Generation and Transformation
GraphGT: Machine Learning Datasets for Graph Generation and Transformation Dataset Website | Paper Installation Using pip To install the core environm
Implementation of Fast Transformer in Pytorch
Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Differentiable Factor Graph Optimization for Learning Smoothers Overview Status Setup Datasets Training Evaluation Acknowledgements Overview Code rele
[ICCV'21] Official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations
CrowdNav with Social-NCE This is an official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations by
Source Code For Template-Based Named Entity Recognition Using BART
Template-Based NER Source Code For Template-Based Named Entity Recognition Using BART Training Training train.py Inference inference.py Corpus ATIS (h
A deceptively simple plotting library for Streamlit
🍅 Plost A deceptively simple plotting library for Streamlit. Because you've been writing plots wrong all this time. Getting started pip install plost
🐛 Self spreading Botnet based on Mirai C&C Arch, spreading through SSH and Telnet protocol.
HBot Self spreading Botnet based on Mirai C&C Arch, spreading through SSH and Telnet protocol. Modern script fullly written in python3. Warning. This
【ACMMM 2021】DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning (ACMMM 2021) Overview We release the code of the DSANet (Dynamic S
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021)
Change is Everywhere Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery by Zhuo Zheng, Ailong Ma, Liangpei Zhang and Yanfei
An open source Jetson Nano baseboard and tools to design your own.
My Jetson Nano Baseboard This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021) This repository is the official P
CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)
CrossNorm (CN) and SelfNorm (SN) (Accepted at ICCV 2021) This is the official PyTorch implementation of our CNSN paper, in which we propose CrossNorm
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres
[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages
Discriminative Region-based Multi-Label Zero-Shot Learning (ICCV 2021) [arXiv][Project page coming soon] Sanath Narayan*, Akshita Gupta*, Salman Kh
A command line tool (and Python library) for archiving Twitter JSON
A command line tool (and Python library) for archiving Twitter JSON
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.
This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
This is a playground for pytorch beginners, which contains predefined models on popular dataset. Currently we support mnist, svhn cifar10, cifar100 st
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom Sample on-line plotting while training(avg loss)/testing(writ
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
MNIST-to-SVHN and SVHN-to-MNIST PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer. Prerequites Python 3.5 PyTorch 0.1.12
Intent parsing and slot filling in PyTorch with seq2seq + attention
PyTorch Seq2Seq Intent Parsing Reframing intent parsing as a human - machine translation task. Work in progress successor to torch-seq2seq-intent-pars
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)
Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen
Molecular AutoEncoder in PyTorch
MolEncoder Molecular AutoEncoder in PyTorch Install $ git clone https://github.com/cxhernandez/molencoder.git && cd molencoder $ python setup.py insta
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Note: this repo has been discontinued, please check code for newer version of the paper here Weight Normalized GAN Code for the paper "On the Effects
Implementations of polygamma, lgamma, and beta functions for PyTorch
lgamma Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use. To build, run: .
A3C LSTM Atari with Pytorch plus A3G design
NEWLY ADDED A3G A NEW GPU/CPU ARCHITECTURE OF A3C FOR SUBSTANTIALLY ACCELERATED TRAINING!! RL A3C Pytorch NEWLY ADDED A3G!! New implementation of A3C
Transfer Learning Shootout for PyTorch's model zoo (torchvision)
pytorch-retraining Transfer Learning shootout for PyTorch's model zoo (torchvision). Load any pretrained model with custom final layer (num_classes) f
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Includes smoo
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation The paper: https://arxiv.org/abs/1704.03296 What makes
Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
VAE with Volume-Preserving Flows This is a PyTorch implementation of two volume-preserving flows as described in the following papers: Tomczak, J. M.,
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Pytorch implementation of Relational Networks - A simple neural network module for relational reasoning Implemented & tested on Sort-of-CLEVR task. So
Visual Question Answering in Pytorch
Visual Question Answering in pytorch /!\ New version of pytorch for VQA available here: https://github.com/Cadene/block.bootstrap.pytorch This repo wa
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Introduction This is a PyTorch implementation of the following research papers: (1) Hierarchical Text Generation and Planning for Strategic Dialogue (
Accelerate Neural Net Training by Progressively Freezing Layers
FreezeOut A simple technique to accelerate neural net training by progressively freezing layers. This repository contains code for the extended abstra
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
ARAE Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun https://arxiv.org/abs/1706.04223 Disc
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting This is the Pytorch implement of CVPR 2016 paper on Context Encoders 1) Semantic Inpainting Demo Inst
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.
neural-combinatorial-rl-pytorch PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning. I have implemented the basic
Sequence-to-Sequence learning using PyTorch
Seq2Seq in PyTorch This is a complete suite for training sequence-to-sequence models in PyTorch. It consists of several models and code to both train
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
PyTorch implementation of [1611.06440 Pruning Convolutional Neural Networks for Resource Efficient Inference] This demonstrates pruning a VGG16 based
Unsupervised Image-to-Image Translation
UNIT: UNsupervised Image-to-image Translation Networks Imaginaire Repository We have a reimplementation of the UNIT method that is more performant. It