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Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch
🔥 公益免费的ChatGPT API，Free ChatGPT API，GPT4 API，可直连，无需代理，使用标准 OpenAI APIKEY 格式访问 ChatGPT，可搭配ChatGPT-next-web、ChatGPT-Midjourney、Lobe-chat、Botgem、FastGPT、沉浸式翻译等项目使用
a super easy clip model with mnist dataset for study
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
An efficient pytorch implementation of selective scan in one file, works with both cpu and gpu, with corresponding mathematical derivation. It is probably the code which is the most close to select…
VMamba: Visual State Space Models，code is based on mamba
[NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
Program for the analysis and visualization of whole-slide images in digital pathology
A platform for end-to-end development of machine learning solutions in biomedical imaging
小白入门DTA方向，GraphDTA作为经典的DTA模型，对于python基础不好，深度学习代码实操不强者，本github将代码细致的进行注释阐述，旨在记录学习过程，帮助更多入门者尽快入门！
Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that do not yet have high-quality 3D structures available.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Protein-compound affinity prediction through unified RNN-CNN
Effectively Identifying Compound-Protein Interaction using Graph Neural Representation
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/1…
Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano
code and data for Liu, Schilling, et al Nat Med 2019
An open-source C++ library developed and used at Facebook.
A Knowledge Graph for Relational Learning On Biological Data
A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction