Pinned Repositories
1-stage-wseg
Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)
3Screen-CNN
A Python 3 and Keras library for training convolutional neural networks for image classification and semantic segmentation.
agritech_hackathon
AI-Employe
GPT-4 Vision Powered First-ever most reliable browser automation to gain hours back every week.
Alpha-Co-Vision
A real-time video caption to conversation bot that captures frames generates captions and creates conversational responses using a Large Language Models base to create interactive video descriptions.
ar-cutpaste
Cut and paste your surroundings using AR
art_gallery
Cohere_Client_Arduino
Arduino Library to connect with Cohere's models
weblm
Drive a browser with Cohere
youtube_summarizer_cohere
TLDW? Summarize youtube videos into a few lines.
ejri's Repositories
ejri/Cohere_Client_Arduino
Arduino Library to connect with Cohere's models
ejri/weblm
Drive a browser with Cohere
ejri/youtube_summarizer_cohere
TLDW? Summarize youtube videos into a few lines.
ejri/AI-Employe
GPT-4 Vision Powered First-ever most reliable browser automation to gain hours back every week.
ejri/Alpha-Co-Vision
A real-time video caption to conversation bot that captures frames generates captions and creates conversational responses using a Large Language Models base to create interactive video descriptions.
ejri/art_gallery
ejri/Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
ejri/canDrive
Tools for hacking your car
ejri/Drones_custom_vision
Drone Image Classification of Urban Green spaces
ejri/email_cohere_weblm
ejri/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ejri/Farm-Data-Relay-System
A system that uses ESP-NOW to exchange data in remote areas without WiFi access.
ejri/fashion_mask_rcnn
ejri/fauxpilot
FauxPilot - an open-source GitHub Copilot server
ejri/fonoster
🚀 The open-source alternative to Twilio (original - fonoster)
ejri/GPT3Discord
A robust, all-in-one GPT3 interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
ejri/library-registry
Arduino Library Manager list
ejri/LLM_endangered_languages
Using Cohere API to create tutor for endangered languages.
ejri/macOSpilot-ai-assistant
Voice + Vision powered AI assistant that answers questions about any application, in context and in audio.
ejri/mdb-ui-kit
Bootstrap 5 & Material Design 2.0 UI KIT
ejri/micro-gpt
A minimal generic autonomous agent based on GPT3.5/4. Can analyze stock prices, perform network security tests, and order pizza.
ejri/OpenGrow-IoT-Plant-Monitor
An IoT enabled monitor for soil moisture and light availability for a plant.
ejri/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
ejri/Personalize-SAM
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
ejri/pytorch-chatbot
Simple chatbot implementation with PyTorch.
ejri/Rasa_Chatbot
ejri/tortoise-tts
A multi-voice TTS system trained with an emphasis on quality
ejri/w2020-data599-capstone-projects-ubc-udl
Provides a proposed approach for a near real-time anomaly detection system with Urban Data Lab's time series database. The approach uses an LSTM for detection with InfluxDB using open-source software.
ejri/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
ejri/youtube_openai_analysis
use openAI's gpt-3 to summarize a youtube video, transcribe it, and ask questions about the video. All without having to watch the video.