Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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GANs in Action
Python port of R's Comprehensive Dynamic Time Warp algorithm package
Welcome to the dtw-python package Comprehensive implementation of Dynamic Time Warping algorithms. DTW is a family of algorithms which compute the loc
A lightweight tool to get an AI Infrastructure Stack up in minutes not days.
K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Deep Learning for humans
Keras: Deep Learning for Python Under Construction In the near future, this repository will be used once again for developing the Keras codebase. For
Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia and Matlab
PyMPDATA PyMPDATA is a high-performance Numba-accelerated Pythonic implementation of the MPDATA algorithm of Smolarkiewicz et al. used in geophysical
A fuzzing framework for SMT solvers
yinyang A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang c
A check for whether the dependency jobs are all green.
alls-green A check for whether the dependency jobs are all green. Why? Do you have more than one job in your GitHub Actions CI/CD workflows setup? Do
LibFewShot: A Comprehensive Library for Few-shot Learning.
LibFewShot Make few-shot learning easy. Supported Methods Meta MAML(ICML'17) ANIL(ICLR'20) R2D2(ICLR'19) Versa(NeurIPS'18) LEO(ICLR'19) MTL(CVPR'19) M
On the model-based stochastic value gradient for continuous reinforcement learning
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Official implementation for: Blended Diffusion for Text-driven Editing of Natural Images.
Blended Diffusion for Text-driven Editing of Natural Images Blended Diffusion for Text-driven Editing of Natural Images Omri Avrahami, Dani Lischinski
Walk with fastai
Shield: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Walk with fastai What is this p
Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer
AniFormer This is the PyTorch implementation of our BMVC 2021 paper AniFormer: Data-driven 3D Animation with Transformer. Haoyu Chen, Hao Tang, Nicu S
Final project for Intro to CS class.
Financial Analysis Web App https://share.streamlit.io/mayurk1/fin-web-app-final-project/webApp.py 1. Project Description This project is a technical a
Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
OpenSelfSup News Downstream tasks now support more methods(Mask RCNN-FPN, RetinaNet, Keypoints RCNN) and more datasets(Cityscapes). 'GaussianBlur' is
Unbiased Learning To Rank Algorithms (ULTRA)
This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiments and research on learning to rank with human annotated or noisy labels.
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
Welcome to the cuQuantum repository! This public repository contains two sets of files related to the NVIDIA cuQuantum SDK: samples: All C/C++ sample
Use unsupervised and supervised learning to predict stocks
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design
DiffHand This repository contains the implementation for the paper An End-to-End Differentiable Framework for Contact-Aware Robot Design (RSS 2021). I
PIXIE: Collaborative Regression of Expressive Bodies
PIXIE: Collaborative Regression of Expressive Bodies [Project Page] This is the official Pytorch implementation of PIXIE. PIXIE reconstructs an expres
Code for the paper "Implicit Representations of Meaning in Neural Language Models"
Implicit Representations of Meaning in Neural Language Models Preliminaries Create and set up a conda environment as follows: conda create -n state-pr
AbelNN: Deep Learning Python module from scratch
AbelNN: Deep Learning Python module from scratch I have implemented several neural networks from scratch using only Numpy. I have designed the module