perry0418

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

graphcast

awesome-LLMs-In-China

**大模型

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

agentscope

Start building LLM-empowered multi-agent applications in an easier way.

modelscope-agent

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

pytorch-forecasting

Time series forecasting with PyTorch

python-snap7

A Python wrapper for the snap7 PLC communication library

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

tensorflow-on-arm

TensorFlow for Arm

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

NumCpp

C++ implementation of the Python Numpy library

shedskin

Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.

vnpy

基于Python的开源量化交易平台开发框架

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

NJUCS

2023南京大学计算机科学与技术845考研公共课和专业课资料：数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

rlpyt

Reinforcement Learning in PyTorch

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

bert-embedding

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

annotated-transformer

An annotated implementation of the Transformer paper.