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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
🔊 Text-Prompted Generative Audio Model
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A guidance language for controlling large language models.
📡 Simple and ready-to-use tutorials for TensorFlow
Foundational Models for State-of-the-Art Speech and Text Translation
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Automatic extraction of relevant features from time series:
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Portfolio and risk analytics in Python
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Performance analysis of predictive (alpha) stock factors
A python tutorial on bayesian modeling techniques (PyMC3)
Datasets, tools, and benchmarks for representation learning of code.
Efficient few-shot learning with Sentence Transformers
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Language-Driven Semantic Segmentation
A tutorial demonstrating how to implement deep learning models for time series forecasting
SpaCy 中文模型 | Models for SpaCy that support Chinese
VQVAEs, GumbelSoftmaxes and friends
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Towards a general-purpose foundation model for computational pathology - Nature Medicine
SMILES Pair Encoding: A data-driven substructure representation of chemicals
Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop