Run Mixtral-8x7B models in Colab or consumer desktops
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Updated
Apr 8, 2024 - Python
Run Mixtral-8x7B models in Colab or consumer desktops
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Collection of google colaboratory notebooks for fast and easy experiments
Connect to Google Colab using SSH
UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
A Pyrogram based Telegram Bot to Transfer Files / Folders to Telegram and Google Drive With Multi-Functionality Using Google Colaboratory
Google Colaboratory background/task executioner & controller.
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Step-by-step tutorial on how to create data with Blender for an object detection application, with ressources included.
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2
Drop-and-run script for Automatic1111's Stable Diffusion WebUI
Authenticate with GitHub in Google Colab to access private repo.
Official Detectron2 implementation of STMDA-RetinaNet of our Computer Vision and Image Understanding 2022 work 'A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training'
This library provides graph sonification functions and has been developed for a project named "Data science and machine learning resources for screen reader users". Please refer to the project page for more details.
A python desktop application that allows you to do image inpainting by directly drawing on it.
Convert your Colab notebook to a PDF. One-minute install. Zero configuration.
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