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Read, modify and write DICOM files with python code
Proceed with text detection only in the selected area of the image
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
GeneralizIT python package for calculating generalizability and dependability coefficients
Open source annotation tool for machine learning practitioners.
The Complete JavaScript Course 2022: From Zero to Expert!
Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment
Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Medical imaging processing for deep learning.
A paper list of some recent Transformer-based CV works.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Collection of notebook guides created by the Brev.dev team!
Multilingual Voice Understanding Model
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
Controllable and fast Text-to-Speech for over 7000 languages!
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Image Classification Using Vision transformer from Scractch
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Open-vocabulary Object Segmentation with Diffusion Models