Dunedin87

Dunedin87

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Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

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best_AI_papers_2021

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

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PlotNeuralNet

Latex code for making neural networks diagrams

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Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

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easy-fpn.pytorch

An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.

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Dynamic-convolution-Pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

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SOLOV2

实例分割,非官方实现。

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pytorch_solov2

SOLOv2 pytorch (without mmdetection and mmcv)

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SOLO

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

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ds_bowl_2018

Kaggle Data Science Bowl 2018

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Super-BPD

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

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UNet-Instance-Cell-Segmentation

[Pytorch] This project aims to perform well at instance segmentation on the BBBC006 cells dataset. We tested UNet over several configurations including the loss function, evaluation function and the datasets.

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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

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MOLECULAR-TRANSLATION

BMS-Molecular-Translation Competition Solution • U-Net • ResNet101 • Attention Mechanism • YOLOv5 🧬💊

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virtual-adversarial-training

Pytorch implementation of Virtual Adversarial Training

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perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

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AlgoTradingRepoList

This repository contains basic information about different algotrading repo I like.

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backtrader

Python Backtesting library for trading strategies

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tda-api

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

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variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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CogView

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

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pytiingo

Python SDK for the Tiingo Finance API

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Annotated-ML-Papers

Annotations of the interesting ML papers I read

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deepmind-perceiver

My implementation of DeepMind's Perceiver

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feedback-transformer-pytorch

Implementation of Feedback Transformer in Pytorch

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annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

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a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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