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🦜🔗 Build context-aware reasoning applications
Google Research
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository contains the source code for the paper First Order Motion Model for Image Animation
This repository contains implementations and illustrative code to accompany DeepMind publications
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Kubernetes community content
TensorFlow Tutorials with YouTube Videos
Python toolkit for quantitative finance
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Collection of notebooks about quantitative finance, with interactive python code.
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Language-Agnostic SEntence Representations
Tutorials for creating and using ONNX models
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
InferSent sentence embeddings
A collection of notebooks for Natural Language Processing from NLP Town
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
A benchmark dataset for data-driven weather forecasting
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
a sklearn wrapper for Google's BERT model
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Positive-unlabeled learning with Python.
Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
Deep Learning Application Examples