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| 88 | 17,700 | A High-Quality Real Time Upscaler for Anime Video | |
| 59 | 6,993 | Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node | |
| 12 | 97 | Notebooks demonstrating example applications of the cleanlab library | |
| 7 | 7,405 | This repository contains demos I made with the Transformers library by HuggingFace. | |
| 6 | 2,363 | Automatic Generation of Visualizations and Infographics using Large Language Models | |
| 5 | 1,529 | Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more. | |
| 3 | 154 | Machine Learning Q and AI book | |
| 3 | 37 | Doodle Dash, an ML-powered web game that runs completely in your browser, thanks to Transformers.js! | |
| 2 | 2,134 | A collection of notebooks/recipes showcasing some fun and effective ways of using Claude. | |
| 2 | 6 | In this project we utilize PARSIQ Smart Triggers and Google Spreadsheets integration to track and visualize AXS token transfers on Ethereum and Binance Smart Chain that with the most liquid exchanges. | |
| 1 | 478 | [CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want | |
| 1 | 51 | Action Chunking Transformer implementation for low cost robot | |
| 1 | 51 | Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral) | |
| 1 | 32 | Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis | |
| 1 | 2 | Implementation and improvement of a research paper with a new theory for image deepfake detection with high generalization to include General Adversarial Networks, Diffusion Models and any other new generative techniques | |
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| 7,405 | Transformers-Tutorials |
| 2 | gaia-bhthree |
| 97 | examples |
| 282 | stylegan2-projecting-images |
| 17,700 | Anime4K |
| 51 | ACT |
| 6,993 | vosk-api |
| 0 | r-examples |
| 51 | VisDiff |
| 478 | AlphaCLIP |
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| 2 | Image_Deepfake_Detection |
| 32 | ToLD-Br |
| 37 | doodle-dash |
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| 32 | ToLD-Br |
| 162 | azureai-samples |
| 3 | 2-layer_neural_network |
| 109 | unitable |
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| 3 | tool-use-benchmark |
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| 0 | finetuning |
| 2 | Multiple-Disease-Prediction-Bot |
| 52 | transformers-crash-course |
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