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Awesome
An opinionated list of awesome Python frameworks, libraries, software and resources.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Collection of awesome resources on image-to-image translation.
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
Age Estimation with PyTorch: Deep Learning for Predicting Age
This is a warehouse for MobileNetV4-Pytorch-model, can be used to train your image-datasets for vision tasks.
Deep learning with pytorch library
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Implementation of LVSM, SOTA Large View Synthesis with Minimal 3d Inductive Bias, from Adobe Research
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
A Python library for scraping the Google search engine.
DeepSeek Coder: Let the Code Write Itself
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
Some comprehensive papers about speaker diarization
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
This is a mxnet version implementation of SSR-Net for age and gender Estimation
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
list of papers, code, and other resources