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ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

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

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

An open-source tool-augmented conversational language model from Fudan University

Deep learning library featuring a higher-level API for TensorFlow.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Efficiently computes derivatives of NumPy code.

Supercharge Your Model Training

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Makes you a Rockstar C++ Programmer in 2 minutes

DeepVis Toolbox

A Python toolbox for performing gradient-free optimization

Code and hyperparameters for the paper "Generative Adversarial Networks"

A highly efficient implementation of Gaussian Processes in PyTorch

(OLD REPO) Line-by-line profiling for Python - Current repo ->

Transformer: PyTorch Implementation of "Attention Is All You Need"

a python command-line tool which draws basic graphs in the terminal

An optimizer that trains as fast as Adam and as good as SGD.

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Code for the paper "Evaluating Large Language Models Trained on Code"

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Implementation of recent Deep Learning papers

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

👷 Quick hack for making real work happen.

Spearmint Bayesian optimization codebase