Popular GitHub Repositories for Commute Times

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

? A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Towards deepfake detection that actually works

Detect and remove logos from videos, even if they change position several times

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.

Automated Bayesian model discovery for time series data

We start a company-name recognition task with a small scale and low quality training data, then using skills to enhanced model training speed and predicting performance with least artificial participation. The methods we use involve lite pre-training models such as Albert-small or Electra-small with financial corpus, knowledge of distillation and multi-stage learning. The result is that we improve the recall rate of company names recognition task from 0.73 to 0.92 and get 4 times as fast as BERT-Bilstm-CRF model.

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs

This uses EDSR to upscale a video by three times

Tools and algorithms to analyze Paraguayan Tweets in times of elections

DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

Export [detectron2](https://github.com/facebookresearch/detectron2) model to [onnx](https://github.com/onnx/onnx) and run inference using [caffe2 onnx backend](https://pytorch.org/tutorials/advanced/super_resolution_with_caffe2.html). This let's you run inference on a raspberry pi with acceptable inference times.

Testing Google Coral USB Accelerator's performance with 04 models of Raspberry Pi. Results have shown 10 times faster inferencing speeds with the Coral hardware attached.

This repository contains the implementation of a lane detection system using the UNet architecture. The model is trained on the BDD100K dataset, leveraging its diverse and large-scale data to ensure robust performance under various weather conditions and different times of day.

Irregular time series made easy

The official GitHub repository for the Newspaper Scrape Project, which uses natural language processing and web scraping to extract data from articles on the technology section of the New York Times.