joshua-shuhan

visual_anagrams

Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

patchtst_single_channel

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Introduction-to-linear-programming

Introduction to Linear Programming with Python

Crop-Yield-Prediction-in-India-using-ML

The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a better yield.

crop-prediction

Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.

MLforCropYieldForecasting

Implementation of Machine learning baseline for large-scale crop yield forecasting

Yield-Prediction

:seedling: Crop Yield Prediction using Machine Learning

PancrePal-xiaoyibao

面向胰腺癌肿瘤患者的智能RAG平台

climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

SIDEC_torch

Official Implementation of Structural Inference with Dynamics Encoding and Partial Correlation Coefficients (ICLR2024)

GeoDiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

UNN

Causal Neural Nerwork

GGN

Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction

GDP

neurips-llm-efficiency-challenge

Starter pack for NeurIPS LLM Efficiency Challenge 2023.

NRI-MPM

Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).

emoji-kitchen

🧑‍🍳 This repository contains the source code for the website https://emojikitchen.dev and allows for quick and easy browsing of the over 100,000 supported emoji mashups as part of Google's Emoji Kitchen.

GTS

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

ddim

Denoising Diffusion Implicit Models

GOGGLE

openai-cookbook

Examples and guides for using the OpenAI API

gpt-cli

Command-line interface for ChatGPT, Claude and Bard

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models