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python 3 pytorch implementation of DANN

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Medical Q&A with Deep Language Models

Python library assists deep learning on graphs

Compute Library for Deep Neural Networks (clDNN)

Julia Implementation of Transformer models

Machine learning and deep learning resources

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Everything you want to know about Google Cloud TPU

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

Code for GAN2Shape (ICLR2021 oral)

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

SiamFC tracking in TensorFlow.

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

:paperclip: Summaries of papers on deep learning

Mass-editing thousands of facts into a transformer memory (ICLR 2023)

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

A curated list of data science educational resources for essential data science skills

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Implementations, Pre-training Code and Datasets of Large Time-Series Models

R Interface to Torch

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Distribution-Aware Coordinate Representation for Human Pose Estimation

TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

This repository contains the reference implementation for our proposed Convolutional CRFs.

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

A3C LSTM Atari with Pytorch plus A3G design

Officially supported AllenNLP models

Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch

Deep and conventional community detection related papers, implementations, datasets, and tools.

How to use our public wav2vec2 dimensional emotion model

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

Discover pretrained models for deep learning in MATLAB

PyTorch implementation of bayesian neural network [torchbnn]

Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)