Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweeper.
• Python 3.9
• pygame
All credits due to the Harvard CS50 team for their work on the game files
Continuous Wavelet Transforms in PyTorch This is a PyTorch implementation for the wavelet analysis outlined in Torrence and Compo (BAMS, 1998). The co
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020 Oral) Figure: Face image editing controlled via style images and segmenta
Hyperbolic Image Segmentation, CVPR 2022 This is the implementation of paper Hyperbolic Image Segmentation (CVPR 2022). Repository structure assets :
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA
Articulation-Aware Canonical Surface Mapping Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani Paper Project Page Requirements Python
A method to solve the Higgs boson challenge using Least Squares - Novae This project is the Project 1 of EPFL CS-433 Machine Learning. The project is
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks This repository is the official implementation of NeuroMLR: Robust & Reliable Route
Narrative-cartography-ontology This repository contains the map content ontology used in narrative cartography, which is associated with a submission
Code for paper "Context-self contrastive pretraining for crop type semantic segmentation" Setting up a python environment Follow the instruction in ht
End-to-end speech secognition toolkit This is an E2E ASR toolkit modified from Espnet1 (version 0.9.9). This is the official implementation of paper:
EmbedSeg Introduction This repository hosts the version of the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
Crystal-AI A simple AI that will give you si ple task and this is made with python Prerequsites: Python3.6.2 pyttsx3 pip install pyttsx3 pyaudio pip i
Fine-tune pretrained Convolutional Neural Networks with PyTorch. Features Gives access to the most popular CNN architectures pretrained on ImageNet. A
The hippynn python package - a modular library for atomistic machine learning with pytorch. We aim to provide a powerful library for the training of a
Retinal vessel segmentation based on GT-UNet Introduction This project is a retinal blood vessel segmentation code based on UNet-like Group Transforme
Climate Modeling with Neural Diffusion Equation Introduction This is the repository of our accepted ICDM 2021 paper "Climate Modeling with Neural Diff
Introduction ImagePy is an open source image processing framework written in Python. Its UI interface, image data structure and table data structure a
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
ELimNet ELimNet: Eliminating Layers in a Neural Network Pretrained with Large Dataset for Downstream Task Removed top layers from pretrained Efficient
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