A generative speech model for daily dialogue.
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A TTS model capable of generating ultra-realistic dialogue in one pass.
- ai
- open-weight
- text-to-speech
An open-source, tool-augmented conversational language model from Fudan University
- chatgpt
- deep-learning
- dialogue-systems
- large-language-models
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
- adaboost
- logistic
- svm
- smo
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
- python
- machine-learning
- infrastructure
- reproducible-research
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
Brian is a free, open source simulator for spiking neural networks.
- python
- neuroscience
- science
- differential-equations
Python package for graph statistics
- graph
- data-science
- networks
- python
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
[CVPR 2025] Video Narration as Vocabulary & Video as Long Document
- chatgpt
- langchain
- video-language
- large-language-model
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- natural-language-processing
- natural-language-generation
- nlg-dataset
- deep-learning
Deep Learning Library for Single Cell Analysis
- deep-learning
- tensorflow
- instance-segmentation
- cell-biology
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)