12388 Repositories
Python the-simpsons-and-machine-learning Libraries
WRENCH: Weak supeRvision bENCHmark
🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development
Machine learning that just works, for effortless production applications
Machine learning that just works, for effortless production applications
Run an FFmpeg command and see the percentage progress and ETA.
Run an FFmpeg command and see the percentage progress and ETA.
Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021
Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021
the project for the most brutal and effective language learning technique
- "The project for the most brutal and effective language learning technique" (c) Alex Kay The langflow project was created especially for language le
bing image downloader app used to download bulk images for a specific search term created using streamlit and bing_image_downloader python packages
bing image downloader app bing image downloader app is used to download bulk images for a specific search term. bing image downloader app gets the sea
Jackrabbit Relay is an API endpoint for stock, forex and cryptocurrency exchanges that accept REST webhooks.
JackrabbitRelay Jackrabbit Relay is an API endpoint for stock, forex and cryptocurrency exchanges that accept REST webhooks. Disclaimer Please note RA
PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence) and pre-trained model on ImageNet dataset
Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin
UI to save and load gnome-shell extension templates.
Gnome Extensions Loader GUI to save and load gnome shell extensions and extension settings. This app makes it easier to share your gnome extensions se
A Python app to serve Conveyor room requests and run approvals through Slack
✨ CONVEYOR FOR SLACK ✨ This is a friendly little Python app that will allow you to integrate your instance of Conveyor with your Slack workspace. In o
Easy and simple, Telegram Bot to Show alert when some edits a message in Group
Edit-Message-Alert Just a simple bot to show alert when someone edits a message sent by them, Just 17 Lines of Code These codes are for those who incu
A Twitter Bot that retweets and likes tweets with the hashtag #girlscriptwoc and #girlscript, and also follows the user.
GirlScript Winter of Contributing Twitter Bot A Twitter Bot that retweets and likes tweets with the hashtag #girlscriptwoc and #girlscript, and also f
Trame let you weave various components and technologies into a Web Application solely written in Python.
Trame Trame aims to be a framework for building interactive applications using a web front-end in plain Python. Such applications can be used locally
🦕 Compile Deno executables and compress them for all platforms easily
Denoc Compile Deno executables and compress them for all platforms easily. Install You can install denoc from PyPI like any other package: pip install
Simple debugger and tester for dico-command.
dp Simple debugger and tester for dico-command. Installation pip install -U dico-dp Usage bot = dico_command.Bot(...) ... bot.load_module("dp") Comma
KeyKatcher is a keylogger that records keystrokes made on a computer and sends to the E-Mail.
What is a keylogger? A keylogger is a software application or piece of hardware that monitors and records keystrokes made on a computer keyboard. The
Small exercises to get you used to reading and writing Python code!
Pythonlings Welcome to Pythonlings, an automated Python tutorial program (inspired by Rustlings and Haskellings). WIP This program is still working in
E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero
MagInkCal This repo contains the code needed to drive an E-Ink Magic Calendar that uses a battery powered (PiSugar2) Raspberry Pi Zero WH to retrieve
Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration This repo contains only model Implementation of Zero-Shot Text-to-Speech for Text
Muzic: Music Understanding and Generation with Artificial Intelligence
Muzic is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.
A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.
A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
Vue + Django with no compromises. Django Templates and Vue SFCs in harmony without sacrificing the full power of either.
Cookiecutter Vue Django Vue + Django with no compromise. Cookiecutter Vue Django is a framework for jumpstarting production-ready Django + Vue project
Get a Django app up and running in dev, test, and production with best practices in 10 minutes
Django template for Docker + Heroku This is how I set up Django projects to get up and running as quick as possible. In includes a few neat things: De
Bleeding edge django template focused on code quality and security.
wemake-django-template Bleeding edge django2.2 template focused on code quality and security. Purpose This project is used to scaffold a django projec
A project to get you started with Docker and Django.
Docker Django tl;dr $ git clone [email protected]:erroneousboat/docker-django.git $ docker-compose up Now you can access the application at https://local
Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them
Django Query Profiler This is a query profiler for Django applications, for helping developers answer the question "My Django code/page/API is slow, H
Convert the SVG code to PNG and replace the line by a call to the image in markdown
Convert the SVG code to PNG and replace the line by a call to the image in markdown
ilpyt: imitation learning library with modular, baseline implementations in Pytorch
ilpyt The imitation learning toolbox (ilpyt) contains modular implementations of common deep imitation learning algorithms in PyTorch, with unified in
Create Fast and easy image datasets using reddit
Reddit-Image-Scraper Reddit Reddit is an American Social news aggregation, web content rating, and discussion website. Reddit has been devided by topi
A simple python script to fetch Bing daily images and set them randomly using hsetroot
Daily bing walls A script to set the daily bing image as the wallpaper. It can also set from a random set of previously fetched wallpapers. usage: dai
A Tools that help Data Scientists and ML engineers train and deploy ML models.
Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers
Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
About subwAI subwAI - a project for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation
BitcartCC is a platform for merchants, users and developers which offers easy setup and use.
BitcartCC is a platform for merchants, users and developers which offers easy setup and use.
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
Official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis.
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin
Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"
model_based_energy_constrained_compression Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and
Learning Sparse Neural Networks through L0 regularization
Example implementation of the L0 regularization method described at Learning Sparse Neural Networks through L0 regularization, Christos Louizos, Max W
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
Code release for "Bayesian Compression for Deep Learning" In "Bayesian Compression for Deep Learning" we adopt a Bayesian view for the compression of
Tutorial for surrogate gradient learning in spiking neural networks
SpyTorch A tutorial on surrogate gradient learning in spiking neural networks Version: 0.4 This repository contains tutorial files to get you started
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Intro PyTorch implementation of Learning to learn by gradient descent by gradient descent. Run python main.py TODO Initial implementation Toy data LST
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks This repository is by Brandon Amos and J. Zico Kolter and contains the PyTorch sourc
On the Variance of the Adaptive Learning Rate and Beyond
RAdam On the Variance of the Adaptive Learning Rate and Beyond We are in an early-release beta. Expect some adventures and rough edges. Table of Conte
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.
fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.
GluonMM is a library of transformer models for computer vision and multi-modality research
GluonMM is a library of transformer models for computer vision and multi-modality research. It contains reference implementations of widely adopted baseline models and also research work from Amazon Research.
BMInf (Big Model Inference) is a low-resource inference package for large-scale pretrained language models (PLMs).
BMInf (Big Model Inference) is a low-resource inference package for large-scale pretrained language models (PLMs).
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
FIDNet_SemanticKITTI Motivation Implementing complicated network modules with only one or two points improvement on hardware is tedious. So here we pr
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification.
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Bunch of optimizer implementations in PyTorch
Bunch of optimizer implementations in PyTorch
Run with one command grafana, prometheus, and a python script to collect and display cryptocurrency prices and track your wallet balance.
CryptoWatch Track your favorite crypto coin price and your wallet balance. Install Create .env: ADMIN_USER=admin ADMIN_PASSWORD=admin Configure you
A bot which provides online/offline and player status for Thicc SMP, using Replit.
AlynaaStatus A bot which provides online/offline and player status for Thicc SMP. Currently being hosted on Replit. How to use? Create a repl on Repli
Convert any-bit number to decimal number and vise versa.
2deci Convert any-bit number to decimal number and vise versa. --bit n to set bit to n --exp xxx to set expression to xxx --r to run reversely (from d
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
BERT Got a Date: Introducing Transformers to Temporal Tagging Satya Almasian*, Dennis Aumiller*, and Michael Gertz Heidelberg University Contact us vi
Read a list in markdown and do something with it!
Markdown List Reader A simple tool for reading lists in markdown. Usage Begin by running the mdr.py file and input either a markdown string with the -
This application demonstrates IoTVAS device discovery and security assessment API integration with the Rapid7 InsightVM.
Introduction This repository hosts a sample application that demonstrates integrating Firmalyzer's IoTVAS API with the Rapid7 InsightVM platform. This
Convert emails without attachments to pdf and send as email
Email to PDF to email This script will check an imap folder for unread emails. Any unread email that does not have an attachment will be converted to
Ross Virtual Assistant is a programme which can play Music, search Wikipedia, open Websites and much more.
Ross-Virtual-Assistant Ross Virtual Assistant is a programme which can play Music, search Wikipedia, open Websites and much more. Installation Downloa
A CRM department in a local bank works on classify their lost customers with their past datas. So they want predict with these method that average loss balance and passive duration for future.
Rule-Based-Classification-in-a-Banking-Case. A CRM department in a local bank works on classify their lost customers with their past datas. So they wa
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
RE2 This is a pytorch implementation of the ACL 2019 paper "Simple and Effective Text Matching with Richer Alignment Features". The original Tensorflo
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
Universal Adversarial Triggers for Attacking and Analyzing NLP This is the official code for the EMNLP 2019 paper, Universal Adversarial Triggers for
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Splitter ⠀⠀ A PyTorch implementation of Splitter: Learning Node Representations that Capture Multiple Social Contexts (WWW 2019). Abstract Recent inte
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Code in both PyTorch and TensorFlow
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context This repository contains the code in both PyTorch and TensorFlow for our paper
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics
Fully Adversarial Mosaics (FAMOS) Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Imag
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
English | 简体中文 | 繁體中文 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained mo
PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
PyTorch Large-Scale Language Model A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset Latest Results 39.98 Perp
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
This is a fork of Fairseq(-py) with implementations of the following models: Pervasive Attention - 2D Convolutional Neural Networks for Sequence-to-Se
A Structured Self-attentive Sentence Embedding
Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Deepvoice3_pytorch PyTorch implementation of convolutional networks-based text-to-speech synthesis models: arXiv:1710.07654: Deep Voice 3: Scaling Tex
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
Non-Autoregressive Transformer Code release for Non-Autoregressive Neural Machine Translation by Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K.
Sequence modeling benchmarks and temporal convolutional networks
Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) This repository contains the experiments done in the work An Empirical Evaluati
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Poincaré Embeddings for Learning Hierarchical Representations PyTorch implementation of Poincaré Embeddings for Learning Hierarchical Representations
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures.
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures. Support face and saliency detection.
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
Merlion: A Machine Learning Framework for Time Series Intelligence
Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. I
PyTorch implementations of normalizing flow and its variants.
PyTorch implementations of normalizing flow and its variants.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable RL [ Documentation | Demo Video ] MetaDrive is a driving simulator with the following
A collection of resources/tools and analyses for the angr binary analysis framework.
Awesome angr A collection of resources/tools and analyses for the angr binary analysis framework. This page does not only collect links and external r
Top #1 Submission code for the first https://alphamev.ai MEV competition with best AUC (0.9893) and MSE (0.0982).
alphamev-winning-submission Top #1 Submission code for the first alphamev MEV competition with best AUC (0.9893) and MSE (0.0982). The code won't run
Tools and documentation to aid in modifying the ADI ADALM Pluto firmware
Pluto firmware modifications This repository contains tools and documentation to aid in modifying the ADI ADALM Pluto firmware. Extraction of the Plut
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
SCINet This is the original PyTorch implementation of the following work: Time Series is a Special Sequence: Forecasting with Sample Convolution and I
easyopt is a super simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding.
easyopt is a super simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding.
Labelling platform for text using distant supervision
With DataQA, you can label unstructured text documents using rule-based distant supervision.
Official code for 'Robust Siamese Object Tracking for Unmanned Aerial Manipulator' and offical introduction to UAMT100 benchmark
SiamSA: Robust Siamese Object Tracking for Unmanned Aerial Manipulator Demo video 📹 Our video on Youtube and bilibili demonstrates the evaluation of
Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Datset)
Graphlevel-SSL Overview Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Dataset). It is unified framework to co
[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation (ICCV 2021) Introduction This is an official pytorch implemen
Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.
Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized
Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
Dynamic Attentive Graph Learning for Image Restoration This repository is for GATIR introduced in the following paper: Chong Mou, Jian Zhang, Zhuoyuan
High level network definitions with pre-trained weights in TensorFlow
TensorNets High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 = TF = 1.4.0). Guiding principles Applicability.
Library for fast text representation and classification.
fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme
Search and filter videos based on objects that appear in them using convolutional neural networks
Thingscoop: Utility for searching and filtering videos based on their content Description Thingscoop is a command-line utility for analyzing videos se
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Shakespeare translations using TensorFlow This is an example of using the new Google's TensorFlow library on monolingual translation going from modern
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
TensorFlowOnSpark TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from the T
Tensorforce: a TensorFlow library for applied reinforcement learning
Tensorforce: a TensorFlow library for applied reinforcement learning Introduction Tensorforce is an open-source deep reinforcement learning framework,