stephanefschwarz's Stars
CurryTang/Graph-LLM
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
porterehunley/RACplusplus
A high performance implementation of Reciprocal Agglomerative Clustering in C++
universal-ner/universal-ner
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
python-poetry/poetry
Python packaging and dependency management made easy
hartator/wayback-machine-downloader
Download an entire website from the Wayback Machine.
copenlu/ALPS_2021
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
hms-dbmi/UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
elceef/dnstwist
Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
hila-chefer/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
abhimishra91/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
shwars/tffundamentals
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
WangGodder/deep-cross-modal-hashing
Deep learning cross modal hashing in PyTorch
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
ThomasLee94/Social-Network-Graph-Tutorial
Graph theory implementations
Make-School-Labs/CS-2.2-Labs
spotify/luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
antonmedv/fx
Terminal JSON viewer & processor
danieldeutsch/bert_score_content_analysis
zhijing-jin/statistical_significance
Tutorial for how to calculate statistical significance for deep learning experiments.
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
HugoBlox/theme-academic-cv
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
sthalles/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
sthalles/deeplab_v3
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN