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Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Answers for Quizzes & Assignments that I have taken

A curated list of Monte Carlo tree search papers with implementations.

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

项目注释+论文复现+算法竞赛+Pytorch实践+LeetCode+VLM预训练

Visualize PyTorch tensors with a single line of code.

Inspect, visualize and intervene on any operation in any neural network. Capture every activation and gradient, the full computational graph and 800+ metadata fields without changing model code. Supports PyTorch, JAX, TensorFlow, MLX, PaddlePaddle and tinygrad. Validated on 6400+ models. Built for researchers and their AI agents.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

A Lite Bert For Self-Supervised Learning Language Representations

An evolving guide to learning Deep Learning effectively.

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

A simple probabilistic programming language.

Open-Source Information Retrieval Courses @ TU Wien

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

《Natural Language Processing with PyTorch》中文翻译

Food Classification with Deep Learning in Keras / Tensorflow

Constrained optimization toolkit for PyTorch

Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.

PaddleNLP UIE模型的PyTorch版实现

A zero-dependency ML framework in C with a modern Python API for full control over execution and memory.

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Practical Full-Stack Machine Learning

DenseNet implementation in Keras

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Machine learning algorithms for many-body quantum systems

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

PyTorch implementation of CNNs for CIFAR benchmark

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

A neural network for end-to-end speech denoising

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

DeepTables: Deep-learning Toolkit for Tabular data

The PyTorch implementation of STGCN.

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

Finetune ModelScope's Text To Video model using Diffusers 🧨

Generating Videos with Scene Dynamics. NIPS 2016.

An end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool [SIGGRAPH 2021]

Submarine is Cloud Native Machine Learning Platform.

MANO layer for PyTorch, generating hand meshes as a differentiable layer

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.