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LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
a state-of-the-art-level open visual language model | 多模态预训练模型
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…
Open source annotation tool for machine learning practitioners.
A game theoretic approach to explain the output of any machine learning model.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Library for Knowledge Intensive Language Tasks
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for using and evaluating SpanBERT.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Controlling Argument Generation via topic, stance, and aspect
The Argument Reasoning Comprehension Task: Source codes & Datasets
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Collection of scraper scripts for parliament.nz
Data science interview questions and answers
Roadmap to becoming an Artificial Intelligence Expert in 2022
🔗 Some useful websites for programmers.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Windows system utilities to maximize productivity
Multilingual Sentence & Image Embeddings with BERT